Overview

Dataset statistics

Number of variables81
Number of observations1836
Missing cells9538
Missing cells (%)6.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 MiB
Average record size in memory634.2 B

Variable types

Numeric76
DateTime3
Categorical2

Warnings

hypersensitive_cardiac_troponini has 298 (16.2%) missing values Missing
prothrombin_time has 21 (1.1%) missing values Missing
procalcitonin has 137 (7.5%) missing values Missing
interleukin_2_receptor has 549 (29.9%) missing values Missing
interleukin_10 has 553 (30.1%) missing values Missing
antithrombin has 661 (36.0%) missing values Missing
interleukin_8 has 549 (29.9%) missing values Missing
red_blood_cell_distribution_width has 31 (1.7%) missing values Missing
quantification_of_treponema_pallidum_antibodies has 355 (19.3%) missing values Missing
prothrombin_activity has 21 (1.1%) missing values Missing
hbsag has 347 (18.9%) missing values Missing
tumor_necrosis_factor has 549 (29.9%) missing values Missing
fibrinogen has 211 (11.5%) missing values Missing
interleukin_1 has 549 (29.9%) missing values Missing
ph_value has 515 (28.1%) missing values Missing
glucose has 24 (1.3%) missing values Missing
mean_platelet_volume has 41 (2.2%) missing values Missing
ferritin has 542 (29.5%) missing values Missing
rbc_distribution_width_sd has 31 (1.7%) missing values Missing
thrombin_time has 211 (11.5%) missing values Missing
hcv_antibody_quantification has 347 (18.9%) missing values Missing
d_d_dimer has 41 (2.2%) missing values Missing
amino_terminal_brain_natriuretic_peptide_precursor_nt_probnp has 357 (19.4%) missing values Missing
platelet_large_cell_ratio has 41 (2.2%) missing values Missing
interleukin_6 has 541 (29.5%) missing values Missing
fibrin_degradation_products has 661 (36.0%) missing values Missing
plt_distribution_width has 41 (2.2%) missing values Missing
international_standard_ratio has 21 (1.1%) missing values Missing
activation_of_partial_thromboplastin_time has 211 (11.5%) missing values Missing
high_sensitivity_c_reactive_protein has 28 (1.5%) missing values Missing
hiv_antibody_quantification has 361 (19.7%) missing values Missing
thrombocytocrit has 41 (2.2%) missing values Missing
esr has 261 (14.2%) missing values Missing
lymphocyte_count is highly skewed (γ1 = 21.45757836) Skewed
monocytes_count is highly skewed (γ1 = 23.72535849) Skewed
df_index has unique values Unique
eosinophils has 665 (36.2%) zeros Zeros
basophil has 231 (12.6%) zeros Zeros
hbsag has 696 (37.9%) zeros Zeros
eosinophil_count has 653 (35.6%) zeros Zeros
basophil_count has 221 (12.0%) zeros Zeros

Reproduction

Analysis started2021-04-12 15:12:28.519856
Analysis finished2021-04-12 15:12:29.004223
Duration0.48 seconds
Software versionpandas-profiling v2.11.0
Download configurationconfig.yaml

Variables

df_index
Real number (ℝ≥0)

UNIQUE

Distinct1836
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3105.617102
Minimum1
Maximum6118
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:29.087873image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile350.5
Q11548.5
median3126
Q34663.25
95-th percentile5810.75
Maximum6118
Range6117
Interquartile range (IQR)3114.75

Descriptive statistics

Standard deviation1762.934541
Coefficient of variation (CV)0.5676599797
Kurtosis-1.220907312
Mean3105.617102
Median Absolute Deviation (MAD)1555
Skewness-0.02329301324
Sum5701913
Variance3107938.197
MonotocityNot monotonic
2021-04-12T17:12:29.167406image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40941
 
0.1%
14081
 
0.1%
4461
 
0.1%
14161
 
0.1%
55141
 
0.1%
55161
 
0.1%
34711
 
0.1%
14241
 
0.1%
34731
 
0.1%
55221
 
0.1%
Other values (1826)1826
99.5%
ValueCountFrequency (%)
11
0.1%
41
0.1%
191
0.1%
261
0.1%
281
0.1%
ValueCountFrequency (%)
61181
0.1%
61161
0.1%
61111
0.1%
61041
0.1%
61031
0.1%

patient_id
Real number (ℝ≥0)

Distinct350
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean187.5653595
Minimum1
Maximum375
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:29.312623image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile18
Q194
median194
Q3277.25
95-th percentile357
Maximum375
Range374
Interquartile range (IQR)183.25

Descriptive statistics

Standard deviation107.0424173
Coefficient of variation (CV)0.5706939576
Kurtosis-1.166913932
Mean187.5653595
Median Absolute Deviation (MAD)91
Skewness-0.0159840416
Sum344370
Variance11458.0791
MonotocityNot monotonic
2021-04-12T17:12:29.387171image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25816
 
0.9%
34916
 
0.9%
29515
 
0.8%
37215
 
0.8%
23114
 
0.8%
30814
 
0.8%
34514
 
0.8%
21813
 
0.7%
17513
 
0.7%
36613
 
0.7%
Other values (340)1693
92.2%
ValueCountFrequency (%)
13
 
0.2%
210
0.5%
36
0.3%
46
0.3%
55
0.3%
ValueCountFrequency (%)
3757
0.4%
3744
 
0.2%
3731
 
0.1%
37215
0.8%
3712
 
0.1%
Distinct1343
Distinct (%)73.3%
Missing5
Missing (%)0.3%
Memory size14.5 KiB
Minimum2020-01-10 20:52:00
Maximum2020-02-18 17:49:00
2021-04-12T17:12:29.479084image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-04-12T17:12:29.558801image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

age
Real number (ℝ≥0)

Distinct70
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.53594771
Minimum18
Maximum95
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:29.647796image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile31
Q147
median62
Q371
95-th percentile83
Maximum95
Range77
Interquartile range (IQR)24

Descriptive statistics

Standard deviation16.44123591
Coefficient of variation (CV)0.2761564491
Kurtosis-0.650188938
Mean59.53594771
Median Absolute Deviation (MAD)11
Skewness-0.298701457
Sum109308
Variance270.3142384
MonotocityNot monotonic
2021-04-12T17:12:29.725870image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6277
 
4.2%
5774
 
4.0%
6969
 
3.8%
6766
 
3.6%
6857
 
3.1%
6554
 
2.9%
6454
 
2.9%
6153
 
2.9%
5150
 
2.7%
4448
 
2.6%
Other values (60)1234
67.2%
ValueCountFrequency (%)
185
 
0.3%
192
 
0.1%
223
 
0.2%
267
 
0.4%
2731
1.7%
ValueCountFrequency (%)
956
0.3%
946
0.3%
9211
0.6%
913
 
0.2%
906
0.3%

gender
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
1
1141 
2
695 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row2
3rd row1
4th row2
5th row2
ValueCountFrequency (%)
11141
62.1%
2695
37.9%
Distinct350
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Memory size14.5 KiB
Minimum2020-01-10 15:52:20
Maximum2020-02-16 21:38:46
2021-04-12T17:12:29.859981image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-04-12T17:12:29.935616image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct349
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size14.5 KiB
Minimum2020-01-23 09:09:23
Maximum2020-03-04 16:21:51
2021-04-12T17:12:30.015950image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-04-12T17:12:30.092381image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

outcome
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
942 
1
894 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0942
51.3%
1894
48.7%

hypersensitive_cardiac_troponini
Real number (ℝ≥0)

MISSING

Distinct646
Distinct (%)42.0%
Missing298
Missing (%)16.2%
Infinite0
Infinite (%)0.0%
Mean1085.950007
Minimum1.9
Maximum50000
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:30.242609image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1.9
5-th percentile1.9
Q13
median14.19910714
Q388.6
95-th percentile3870.215
Maximum50000
Range49998.1
Interquartile range (IQR)85.6

Descriptive statistics

Standard deviation5422.869434
Coefficient of variation (CV)4.993663982
Kurtosis59.68509693
Mean1085.950007
Median Absolute Deviation (MAD)12.29910714
Skewness7.470070183
Sum1670191.11
Variance29407512.9
MonotocityNot monotonic
2021-04-12T17:12:30.384811image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.9253
 
13.8%
236
 
2.0%
3.622
 
1.2%
8.121
 
1.1%
2.716
 
0.9%
3.316
 
0.9%
2.213
 
0.7%
5.212
 
0.7%
3.712
 
0.7%
5.412
 
0.7%
Other values (636)1125
61.3%
(Missing)298
 
16.2%
ValueCountFrequency (%)
1.9253
13.8%
1.96251
 
0.1%
236
 
2.0%
2.031251
 
0.1%
2.0714285711
 
0.1%
ValueCountFrequency (%)
5000011
0.6%
47751.9251
 
0.1%
45503.851
 
0.1%
41649.876921
 
0.1%
41007.71
 
0.1%

hemoglobin
Real number (ℝ≥0)

Distinct755
Distinct (%)41.3%
Missing9
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean124.6894608
Minimum6.4
Maximum178
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:30.465561image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum6.4
5-th percentile95.03
Q1113
median125
Q3138
95-th percentile156
Maximum178
Range171.6
Interquartile range (IQR)25

Descriptive statistics

Standard deviation19.88861202
Coefficient of variation (CV)0.159505157
Kurtosis3.785345976
Mean124.6894608
Median Absolute Deviation (MAD)12.42857143
Skewness-0.9003015417
Sum227807.6448
Variance395.556888
MonotocityNot monotonic
2021-04-12T17:12:30.544820image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12533
 
1.8%
12930
 
1.6%
12429
 
1.6%
12127
 
1.5%
12826
 
1.4%
11926
 
1.4%
11026
 
1.4%
10925
 
1.4%
10824
 
1.3%
12024
 
1.3%
Other values (745)1557
84.8%
ValueCountFrequency (%)
6.41
 
0.1%
12.91
 
0.1%
14.11
 
0.1%
163
0.2%
18.71
 
0.1%
ValueCountFrequency (%)
1781
 
0.1%
176.55555561
 
0.1%
1719
0.5%
169.33333331
 
0.1%
167.9523811
 
0.1%

serum_chloride
Real number (ℝ≥0)

Distinct960
Distinct (%)52.6%
Missing12
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean102.5806267
Minimum71.5
Maximum140.4
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:30.625364image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum71.5
5-th percentile93.03333333
Q198.935
median101.9
Q3104.9
95-th percentile116.2828571
Maximum140.4
Range68.9
Interquartile range (IQR)5.965

Descriptive statistics

Standard deviation7.153556093
Coefficient of variation (CV)0.06973593676
Kurtosis4.758783852
Mean102.5806267
Median Absolute Deviation (MAD)2.995
Skewness1.243672157
Sum187107.063
Variance51.17336478
MonotocityNot monotonic
2021-04-12T17:12:30.699639image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.418
 
1.0%
99.118
 
1.0%
102.517
 
0.9%
99.817
 
0.9%
103.216
 
0.9%
103.415
 
0.8%
99.714
 
0.8%
100.314
 
0.8%
104.914
 
0.8%
10014
 
0.8%
Other values (950)1667
90.8%
ValueCountFrequency (%)
71.52
0.1%
73.566666671
 
0.1%
761
 
0.1%
833
0.2%
84.433333331
 
0.1%
ValueCountFrequency (%)
140.42
0.1%
140.32
0.1%
140.21
0.1%
140.11
0.1%
138.21
0.1%

prothrombin_time
Real number (ℝ≥0)

MISSING

Distinct641
Distinct (%)35.3%
Missing21
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean15.80631087
Minimum11.5
Maximum120
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:30.778628image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum11.5
5-th percentile12.8
Q113.55227273
median14.4
Q316.2
95-th percentile21.94909091
Maximum120
Range108.5
Interquartile range (IQR)2.647727273

Descriptive statistics

Standard deviation6.501285754
Coefficient of variation (CV)0.4113094958
Kurtosis136.5070569
Mean15.80631087
Median Absolute Deviation (MAD)1.1
Skewness10.19323518
Sum28688.45423
Variance42.26671646
MonotocityNot monotonic
2021-04-12T17:12:30.856832image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.671
 
3.9%
1453
 
2.9%
13.452
 
2.8%
12.947
 
2.6%
13.745
 
2.5%
1344
 
2.4%
13.542
 
2.3%
13.337
 
2.0%
13.137
 
2.0%
13.837
 
2.0%
Other values (631)1350
73.5%
ValueCountFrequency (%)
11.53
0.2%
11.62
0.1%
11.81
 
0.1%
11.905263161
 
0.1%
11.96251
 
0.1%
ValueCountFrequency (%)
1202
0.1%
110.881
0.1%
104.81
0.1%
92.11
0.1%
79.061
0.1%

procalcitonin
Real number (ℝ≥0)

MISSING

Distinct372
Distinct (%)21.9%
Missing137
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean1.019791283
Minimum0.02
Maximum51.76419355
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:30.931981image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.02
5-th percentile0.02
Q10.04
median0.1185714286
Q30.45
95-th percentile3.985333333
Maximum51.76419355
Range51.74419355
Interquartile range (IQR)0.41

Descriptive statistics

Standard deviation4.058683152
Coefficient of variation (CV)3.97991552
Kurtosis70.9139461
Mean1.019791283
Median Absolute Deviation (MAD)0.09273809524
Skewness7.770461034
Sum1732.625389
Variance16.47290893
MonotocityNot monotonic
2021-04-12T17:12:31.011957image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.02230
 
12.5%
0.03105
 
5.7%
0.0495
 
5.2%
0.0675
 
4.1%
0.0568
 
3.7%
0.0743
 
2.3%
0.0939
 
2.1%
0.1635
 
1.9%
0.1534
 
1.9%
0.1126
 
1.4%
Other values (362)949
51.7%
(Missing)137
 
7.5%
ValueCountFrequency (%)
0.02230
12.5%
0.021111111111
 
0.1%
0.021666666673
 
0.2%
0.023333333331
 
0.1%
0.0241
 
0.1%
ValueCountFrequency (%)
51.764193551
0.1%
49.962258061
0.1%
44.556451611
0.1%
42.754516131
0.1%
42.711
0.1%

eosinophils
Real number (ℝ≥0)

ZEROS

Distinct455
Distinct (%)24.9%
Missing9
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean0.6470635137
Minimum0
Maximum8.6
Zeros665
Zeros (%)36.2%
Memory size14.5 KiB
2021-04-12T17:12:31.092735image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.1333333333
Q30.9
95-th percentile2.7
Maximum8.6
Range8.6
Interquartile range (IQR)0.9

Descriptive statistics

Standard deviation1.052293209
Coefficient of variation (CV)1.626259536
Kurtosis11.44891732
Mean0.6470635137
Median Absolute Deviation (MAD)0.1333333333
Skewness2.78381789
Sum1182.18504
Variance1.107320999
MonotocityNot monotonic
2021-04-12T17:12:31.165380image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0665
36.2%
0.168
 
3.7%
0.256
 
3.1%
0.732
 
1.7%
0.631
 
1.7%
225
 
1.4%
0.324
 
1.3%
0.821
 
1.1%
0.420
 
1.1%
0.520
 
1.1%
Other values (445)865
47.1%
ValueCountFrequency (%)
0665
36.2%
0.0051
 
0.1%
0.0090909090911
 
0.1%
0.012
 
0.1%
0.011111111111
 
0.1%
ValueCountFrequency (%)
8.63
0.2%
7.21
 
0.1%
7.14
0.2%
7.061
 
0.1%
6.0333333331
 
0.1%

interleukin_2_receptor
Real number (ℝ≥0)

MISSING

Distinct356
Distinct (%)27.7%
Missing549
Missing (%)29.9%
Infinite0
Infinite (%)0.0%
Mean989.7415392
Minimum65.5
Maximum7500
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:31.238000image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum65.5
5-th percentile254
Q1513
median778
Q31192
95-th percentile2175.7
Maximum7500
Range7434.5
Interquartile range (IQR)679

Descriptive statistics

Standard deviation863.3289299
Coefficient of variation (CV)0.8722771508
Kurtosis23.09817604
Mean989.7415392
Median Absolute Deviation (MAD)322
Skewness3.913545834
Sum1273797.361
Variance745336.8412
MonotocityNot monotonic
2021-04-12T17:12:31.310161image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
106316
 
0.9%
117916
 
0.9%
96616
 
0.9%
183315
 
0.8%
148015
 
0.8%
152214
 
0.8%
104914
 
0.8%
51813
 
0.7%
22512
 
0.7%
133611
 
0.6%
Other values (346)1145
62.4%
(Missing)549
29.9%
ValueCountFrequency (%)
65.51
 
0.1%
68.51
 
0.1%
706
0.3%
103.22222221
 
0.1%
1231
 
0.1%
ValueCountFrequency (%)
75009
0.5%
51501
 
0.1%
47341
 
0.1%
43181
 
0.1%
42018
0.4%

alkaline_phosphatase
Real number (ℝ≥0)

Distinct795
Distinct (%)43.5%
Missing9
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean82.32483151
Minimum17
Maximum620
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:31.386506image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile41
Q154
median69
Q395.18333333
95-th percentile172.3928571
Maximum620
Range603
Interquartile range (IQR)41.18333333

Descriptive statistics

Standard deviation47.55349046
Coefficient of variation (CV)0.5776324056
Kurtosis24.28063756
Mean82.32483151
Median Absolute Deviation (MAD)17.71428571
Skewness3.502586423
Sum150407.4672
Variance2261.334455
MonotocityNot monotonic
2021-04-12T17:12:31.461444image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4731
 
1.7%
6226
 
1.4%
5425
 
1.4%
5325
 
1.4%
6825
 
1.4%
5523
 
1.3%
6122
 
1.2%
5921
 
1.1%
7321
 
1.1%
6320
 
1.1%
Other values (785)1588
86.5%
ValueCountFrequency (%)
174
0.2%
201
 
0.1%
20.751
 
0.1%
211
 
0.1%
21.751
 
0.1%
ValueCountFrequency (%)
6202
0.1%
4243
0.2%
381.41
 
0.1%
317.51
 
0.1%
2841
 
0.1%

albumin
Real number (ℝ≥0)

Distinct979
Distinct (%)53.6%
Missing9
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean32.24753735
Minimum13.6
Maximum47.35
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:31.625928image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum13.6
5-th percentile22.61363636
Q127.83888889
median32.56
Q336.8
95-th percentile41
Maximum47.35
Range33.75
Interquartile range (IQR)8.961111111

Descriptive statistics

Standard deviation5.913430103
Coefficient of variation (CV)0.1833761766
Kurtosis-0.5191671188
Mean32.24753735
Median Absolute Deviation (MAD)4.46
Skewness-0.1960832705
Sum58916.25074
Variance34.96865559
MonotocityNot monotonic
2021-04-12T17:12:31.697058image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30.125
 
1.4%
31.420
 
1.1%
31.314
 
0.8%
35.414
 
0.8%
34.913
 
0.7%
26.913
 
0.7%
28.212
 
0.7%
39.512
 
0.7%
3311
 
0.6%
38.611
 
0.6%
Other values (969)1682
91.6%
ValueCountFrequency (%)
13.62
0.1%
16.42
0.1%
16.74
0.2%
16.91
 
0.1%
17.157142861
 
0.1%
ValueCountFrequency (%)
47.351
0.1%
46.32
0.1%
45.71
0.1%
45.651
0.1%
45.52
0.1%

basophil
Real number (ℝ≥0)

ZEROS

Distinct294
Distinct (%)16.1%
Missing9
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean0.2113156899
Minimum0
Maximum1.7
Zeros231
Zeros (%)12.6%
Memory size14.5 KiB
2021-04-12T17:12:31.773016image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.1
median0.1666666667
Q30.3
95-th percentile0.6
Maximum1.7
Range1.7
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.2015596438
Coefficient of variation (CV)0.9538318899
Kurtosis7.509657621
Mean0.2113156899
Median Absolute Deviation (MAD)0.08666666667
Skewness2.112399785
Sum386.0737654
Variance0.04062629003
MonotocityNot monotonic
2021-04-12T17:12:31.849283image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1381
20.8%
0.2250
 
13.6%
0231
 
12.6%
0.3112
 
6.1%
0.493
 
5.1%
0.553
 
2.9%
0.626
 
1.4%
0.816
 
0.9%
0.1516
 
0.9%
0.0514
 
0.8%
Other values (284)635
34.6%
ValueCountFrequency (%)
0231
12.6%
0.0083333333331
 
0.1%
0.011111111112
 
0.1%
0.01251
 
0.1%
0.01252
 
0.1%
ValueCountFrequency (%)
1.72
 
0.1%
1.61
 
0.1%
1.51
 
0.1%
1.18
0.4%
11
 
0.1%

interleukin_10
Real number (ℝ≥0)

MISSING

Distinct192
Distinct (%)15.0%
Missing553
Missing (%)30.1%
Infinite0
Infinite (%)0.0%
Mean17.47243667
Minimum5
Maximum1000
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:31.930130image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q15
median7.7
Q314.4
95-th percentile29.7
Maximum1000
Range995
Interquartile range (IQR)9.4

Descriptive statistics

Standard deviation68.80443664
Coefficient of variation (CV)3.937884448
Kurtosis138.5416835
Mean17.47243667
Median Absolute Deviation (MAD)2.7
Skewness11.45285368
Sum22417.13625
Variance4734.050501
MonotocityNot monotonic
2021-04-12T17:12:32.006783image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5487
26.5%
10.124
 
1.3%
17.421
 
1.1%
8.419
 
1.0%
7.917
 
0.9%
27.416
 
0.9%
16.815
 
0.8%
20.315
 
0.8%
10.315
 
0.8%
5.214
 
0.8%
Other values (182)640
34.9%
(Missing)553
30.1%
ValueCountFrequency (%)
5487
26.5%
5.0666666671
 
0.1%
5.17
 
0.4%
5.1181818181
 
0.1%
5.121
 
0.1%
ValueCountFrequency (%)
10002
0.1%
947.36842111
0.1%
815.78947371
0.1%
789.47368421
0.1%
684.21052631
0.1%

total_bilirubin
Real number (ℝ≥0)

Distinct955
Distinct (%)52.3%
Missing9
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean16.47686139
Minimum2.5
Maximum505.7
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:32.082601image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.5
5-th percentile4.541590909
Q17.472077922
median10.72
Q316.19166667
95-th percentile39.9
Maximum505.7
Range503.2
Interquartile range (IQR)8.719588745

Descriptive statistics

Standard deviation28.23923234
Coefficient of variation (CV)1.713872058
Kurtosis142.6015031
Mean16.47686139
Median Absolute Deviation (MAD)3.8325
Skewness10.42961925
Sum30103.22576
Variance797.4542434
MonotocityNot monotonic
2021-04-12T17:12:32.161753image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.626
 
1.4%
12.817
 
0.9%
7.416
 
0.9%
13.315
 
0.8%
6.115
 
0.8%
10.615
 
0.8%
5.914
 
0.8%
9.414
 
0.8%
10.413
 
0.7%
9.513
 
0.7%
Other values (945)1669
90.9%
ValueCountFrequency (%)
2.52
 
0.1%
2.5384615381
 
0.1%
2.88
0.4%
2.8076923081
 
0.1%
2.8846153851
 
0.1%
ValueCountFrequency (%)
505.71
 
0.1%
459.761
 
0.1%
436.791
 
0.1%
390.851
 
0.1%
295.43
0.2%

platelet_count
Real number (ℝ)

Distinct1056
Distinct (%)57.8%
Missing9
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean185.426278
Minimum-1
Maximum554
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:32.235870image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile27.06
Q1112
median181.1666667
Q3251
95-th percentile370
Maximum554
Range555
Interquartile range (IQR)139

Descriptive statistics

Standard deviation103.1775959
Coefficient of variation (CV)0.556434595
Kurtosis0.1850442688
Mean185.426278
Median Absolute Deviation (MAD)69.5952381
Skewness0.4568401047
Sum338773.81
Variance10645.6163
MonotocityNot monotonic
2021-04-12T17:12:32.305002image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15922
 
1.2%
-116
 
0.9%
25615
 
0.8%
18111
 
0.6%
14510
 
0.5%
7910
 
0.5%
14910
 
0.5%
5410
 
0.5%
25110
 
0.5%
16110
 
0.5%
Other values (1046)1703
92.8%
ValueCountFrequency (%)
-116
0.9%
42
 
0.1%
51
 
0.1%
62
 
0.1%
74
 
0.2%
ValueCountFrequency (%)
5545
0.3%
5442
 
0.1%
539.21
 
0.1%
533.81
 
0.1%
516.57142861
 
0.1%

monocytes
Real number (ℝ≥0)

Distinct901
Distinct (%)49.3%
Missing9
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean6.19174636
Minimum0.3
Maximum53
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:32.377707image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile1.304285714
Q12.9
median5.7
Q38.788461538
95-th percentile12.4925
Maximum53
Range52.7
Interquartile range (IQR)5.888461538

Descriptive statistics

Standard deviation3.977901622
Coefficient of variation (CV)0.6424522891
Kurtosis13.59868914
Mean6.19174636
Median Absolute Deviation (MAD)2.9
Skewness1.9127204
Sum11312.3206
Variance15.82370132
MonotocityNot monotonic
2021-04-12T17:12:32.453191image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.626
 
1.4%
2.521
 
1.1%
1.717
 
0.9%
1.816
 
0.9%
1.516
 
0.9%
415
 
0.8%
4.315
 
0.8%
7.815
 
0.8%
9.315
 
0.8%
2.915
 
0.8%
Other values (891)1656
90.2%
ValueCountFrequency (%)
0.31
 
0.1%
0.41
 
0.1%
0.58571428571
 
0.1%
0.63
 
0.2%
0.712
0.7%
ValueCountFrequency (%)
531
 
0.1%
35.22
0.1%
30.51
 
0.1%
20.41
 
0.1%
19.44
0.2%

antithrombin
Real number (ℝ≥0)

MISSING

Distinct299
Distinct (%)25.4%
Missing661
Missing (%)36.0%
Infinite0
Infinite (%)0.0%
Mean87.25483191
Minimum23.25
Maximum130
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:32.529344image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum23.25
5-th percentile60.7
Q176
median88
Q397
95-th percentile115
Maximum130
Range106.75
Interquartile range (IQR)21

Descriptive statistics

Standard deviation16.48377919
Coefficient of variation (CV)0.1889153739
Kurtosis0.6383017566
Mean87.25483191
Median Absolute Deviation (MAD)10
Skewness-0.1884580106
Sum102524.4275
Variance271.7149764
MonotocityNot monotonic
2021-04-12T17:12:32.609785image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9047
 
2.6%
9142
 
2.3%
7338
 
2.1%
9437
 
2.0%
8835
 
1.9%
8333
 
1.8%
7431
 
1.7%
9730
 
1.6%
9929
 
1.6%
9828
 
1.5%
Other values (289)825
44.9%
(Missing)661
36.0%
ValueCountFrequency (%)
23.251
0.1%
28.1251
0.1%
29.751
0.1%
31.3751
0.1%
362
0.1%
ValueCountFrequency (%)
1305
0.3%
1287
0.4%
1261
 
0.1%
1255
0.3%
124.51
 
0.1%

interleukin_8
Real number (ℝ≥0)

MISSING

Distinct302
Distinct (%)23.5%
Missing549
Missing (%)29.9%
Infinite0
Infinite (%)0.0%
Mean84.6131661
Minimum5
Maximum6795
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:32.688593image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5.1
Q19.9
median17.1
Q336
95-th percentile209
Maximum6795
Range6790
Interquartile range (IQR)26.1

Descriptive statistics

Standard deviation493.6563347
Coefficient of variation (CV)5.834273287
Kurtosis129.2613108
Mean84.6131661
Median Absolute Deviation (MAD)9.7
Skewness11.09392414
Sum108897.1448
Variance243696.5768
MonotocityNot monotonic
2021-04-12T17:12:32.765858image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
563
 
3.4%
20.827
 
1.5%
6.418
 
1.0%
72.116
 
0.9%
11.916
 
0.9%
28.316
 
0.9%
1515
 
0.8%
92.315
 
0.8%
35.115
 
0.8%
17.915
 
0.8%
Other values (292)1071
58.3%
(Missing)549
29.9%
ValueCountFrequency (%)
563
3.4%
5.15
 
0.3%
5.34
 
0.2%
5.51
 
0.1%
5.5666666671
 
0.1%
ValueCountFrequency (%)
67953
0.2%
5753.1538461
 
0.1%
5690.0684211
 
0.1%
5064.2052631
 
0.1%
4711.3076921
 
0.1%

indirect_bilirubin
Real number (ℝ≥0)

Distinct824
Distinct (%)45.2%
Missing14
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean6.792411191
Minimum0.1
Maximum145.1
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:32.845112image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile2.2
Q13.9
median5.414285714
Q37.9
95-th percentile13.9
Maximum145.1
Range145
Interquartile range (IQR)4

Descriptive statistics

Standard deviation7.272800505
Coefficient of variation (CV)1.070724416
Kurtosis164.5192035
Mean6.792411191
Median Absolute Deviation (MAD)1.871428571
Skewness10.60189435
Sum12375.77319
Variance52.89362718
MonotocityNot monotonic
2021-04-12T17:12:32.920168image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.326
 
1.4%
625
 
1.4%
2.723
 
1.3%
6.822
 
1.2%
6.321
 
1.1%
520
 
1.1%
4.120
 
1.1%
5.220
 
1.1%
2.319
 
1.0%
4.618
 
1.0%
Other values (814)1608
87.6%
ValueCountFrequency (%)
0.12
0.1%
0.41
0.1%
0.61666666671
0.1%
0.6251
0.1%
12
0.1%
ValueCountFrequency (%)
145.11
 
0.1%
128.021
 
0.1%
119.481
 
0.1%
102.41
 
0.1%
52.53
0.2%

red_blood_cell_distribution_width
Real number (ℝ≥0)

MISSING

Distinct667
Distinct (%)37.0%
Missing31
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean13.10323145
Minimum10.6
Maximum26.725
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:33.117075image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum10.6
5-th percentile11.43666667
Q112
median12.6
Q313.61428571
95-th percentile16
Maximum26.725
Range16.125
Interquartile range (IQR)1.614285714

Descriptive statistics

Standard deviation1.772183491
Coefficient of variation (CV)0.1352478202
Kurtosis14.11151263
Mean13.10323145
Median Absolute Deviation (MAD)0.7
Skewness2.92378636
Sum23651.33277
Variance3.140634325
MonotocityNot monotonic
2021-04-12T17:12:33.194423image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.979
 
4.3%
13.260
 
3.3%
12.252
 
2.8%
12.447
 
2.6%
1245
 
2.5%
12.341
 
2.2%
12.640
 
2.2%
12.533
 
1.8%
12.932
 
1.7%
12.830
 
1.6%
Other values (657)1346
73.3%
(Missing)31
 
1.7%
ValueCountFrequency (%)
10.63
0.2%
10.76
0.3%
10.791666671
 
0.1%
10.844444441
 
0.1%
10.857142861
 
0.1%
ValueCountFrequency (%)
26.7251
0.1%
25.9751
0.1%
25.61
0.1%
25.11
0.1%
24.851
0.1%

neutrophils
Real number (ℝ≥0)

Distinct1170
Distinct (%)64.0%
Missing9
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean77.62816369
Minimum1.75
Maximum98.9
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:33.276730image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1.75
5-th percentile48.86809524
Q165.1
median81.5
Q392.29375
95-th percentile96.1
Maximum98.9
Range97.15
Interquartile range (IQR)27.19375

Descriptive statistics

Standard deviation16.29070092
Coefficient of variation (CV)0.2098555491
Kurtosis-0.09832110922
Mean77.62816369
Median Absolute Deviation (MAD)12.3
Skewness-0.7197547091
Sum141826.6551
Variance265.3869364
MonotocityNot monotonic
2021-04-12T17:12:33.354920image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
94.912
 
0.7%
96.111
 
0.6%
91.210
 
0.5%
80.99
 
0.5%
93.99
 
0.5%
619
 
0.5%
93.19
 
0.5%
939
 
0.5%
93.29
 
0.5%
94.39
 
0.5%
Other values (1160)1731
94.3%
(Missing)9
 
0.5%
ValueCountFrequency (%)
1.751
0.1%
1.81
0.1%
1.91
0.1%
18.22
0.1%
32.7751
0.1%
ValueCountFrequency (%)
98.93
0.2%
98.842857141
 
0.1%
98.785714291
 
0.1%
98.72
0.1%
98.22
0.1%

total_protein
Real number (ℝ≥0)

Distinct960
Distinct (%)52.5%
Missing9
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean65.7552383
Minimum31.8
Maximum86.84285714
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:33.439100image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum31.8
5-th percentile52.3
Q161.6
median66.4
Q370.62714286
95-th percentile76.5
Maximum86.84285714
Range55.04285714
Interquartile range (IQR)9.027142857

Descriptive statistics

Standard deviation7.123370609
Coefficient of variation (CV)0.1083316066
Kurtosis0.8038815825
Mean65.7552383
Median Absolute Deviation (MAD)4.506666667
Skewness-0.5988362963
Sum120134.8204
Variance50.74240884
MonotocityNot monotonic
2021-04-12T17:12:33.511474image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66.817
 
0.9%
65.416
 
0.9%
69.513
 
0.7%
73.112
 
0.7%
61.612
 
0.7%
71.412
 
0.7%
71.112
 
0.7%
61.211
 
0.6%
7011
 
0.6%
74.311
 
0.6%
Other values (950)1700
92.6%
ValueCountFrequency (%)
31.82
0.1%
371
0.1%
41.051
0.1%
41.31
0.1%
42.41
0.1%
ValueCountFrequency (%)
86.842857141
0.1%
83.128571431
0.1%
82.871428571
0.1%
82.741
0.1%
82.728571431
0.1%
Distinct31
Distinct (%)2.1%
Missing355
Missing (%)19.3%
Infinite0
Infinite (%)0.0%
Mean0.1763456777
Minimum0.02
Maximum11.95
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:33.582877image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.02
5-th percentile0.03
Q10.04
median0.05
Q30.07
95-th percentile0.17
Maximum11.95
Range11.93
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation1.055356106
Coefficient of variation (CV)5.984587316
Kurtosis113.2077454
Mean0.1763456777
Median Absolute Deviation (MAD)0.01
Skewness10.51908258
Sum261.1679487
Variance1.113776511
MonotocityNot monotonic
2021-04-12T17:12:33.654148image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0.04324
17.6%
0.05313
17.0%
0.06185
10.1%
0.03141
 
7.7%
0.07123
 
6.7%
0.0880
 
4.4%
0.0967
 
3.6%
0.0265
 
3.5%
0.142
 
2.3%
0.1124
 
1.3%
Other values (21)117
 
6.4%
(Missing)355
19.3%
ValueCountFrequency (%)
0.0265
 
3.5%
0.03141
7.7%
0.031538461541
 
0.1%
0.034615384621
 
0.1%
0.04324
17.6%
ValueCountFrequency (%)
11.9511
0.6%
4.094
 
0.2%
2.625
0.3%
1.328
0.4%
0.418
0.4%

prothrombin_activity
Real number (ℝ≥0)

MISSING

Distinct569
Distinct (%)31.3%
Missing21
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean81.41382677
Minimum6
Maximum142
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:33.726606image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile44
Q168
median84.22222222
Q396
95-th percentile108.81
Maximum142
Range136
Interquartile range (IQR)28

Descriptive statistics

Standard deviation20.69018494
Coefficient of variation (CV)0.2541360081
Kurtosis0.3952270049
Mean81.41382677
Median Absolute Deviation (MAD)13.22222222
Skewness-0.5973357541
Sum147766.0956
Variance428.0837527
MonotocityNot monotonic
2021-04-12T17:12:33.809334image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9652
 
2.8%
9040
 
2.2%
9437
 
2.0%
9236
 
2.0%
8235
 
1.9%
9935
 
1.9%
9134
 
1.9%
10234
 
1.9%
9731
 
1.7%
8728
 
1.5%
Other values (559)1453
79.1%
ValueCountFrequency (%)
61
0.1%
71
0.1%
91
0.1%
101
0.1%
131
0.1%
ValueCountFrequency (%)
1423
0.2%
1372
0.1%
1331
 
0.1%
131.42105261
 
0.1%
129.3751
 
0.1%

hbsag
Real number (ℝ≥0)

MISSING
ZEROS

Distinct18
Distinct (%)1.2%
Missing347
Missing (%)18.9%
Infinite0
Infinite (%)0.0%
Mean6.123712352
Minimum0
Maximum250
Zeros696
Zeros (%)37.9%
Memory size14.5 KiB
2021-04-12T17:12:33.878736image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.01
Q30.01
95-th percentile3.866
Maximum250
Range250
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation36.74459164
Coefficient of variation (CV)6.000378452
Kurtosis38.4728595
Mean6.123712352
Median Absolute Deviation (MAD)0.01
Skewness6.309295094
Sum9118.207692
Variance1350.165015
MonotocityNot monotonic
2021-04-12T17:12:33.940566image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0696
37.9%
0.01513
27.9%
0.02155
 
8.4%
0.0334
 
1.9%
25031
 
1.7%
0.0411
 
0.6%
5.38
 
0.4%
10.27
 
0.4%
15.257
 
0.4%
4.016
 
0.3%
Other values (8)21
 
1.1%
(Missing)347
18.9%
ValueCountFrequency (%)
0696
37.9%
0.00076923076921
 
0.1%
0.0076923076921
 
0.1%
0.0092307692311
 
0.1%
0.01513
27.9%
ValueCountFrequency (%)
25031
1.7%
162.194
 
0.2%
56.324
 
0.2%
30.43
 
0.2%
28.275
 
0.3%

mean_corpuscular_volume
Real number (ℝ≥0)

Distinct992
Distinct (%)54.3%
Missing9
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean90.54459662
Minimum62.06666667
Maximum118.35
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:34.012422image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum62.06666667
5-th percentile81.906
Q187.16794872
median90.11111111
Q394.19444444
95-th percentile100.5914286
Maximum118.35
Range56.28333333
Interquartile range (IQR)7.026495726

Descriptive statistics

Standard deviation6.309490211
Coefficient of variation (CV)0.06968378509
Kurtosis2.671156373
Mean90.54459662
Median Absolute Deviation (MAD)3.425396825
Skewness-0.149770966
Sum165424.978
Variance39.80966673
MonotocityNot monotonic
2021-04-12T17:12:34.089381image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
89.621
 
1.1%
91.320
 
1.1%
89.918
 
1.0%
89.817
 
0.9%
97.415
 
0.8%
86.813
 
0.7%
91.713
 
0.7%
88.812
 
0.7%
87.912
 
0.7%
93.412
 
0.7%
Other values (982)1674
91.2%
ValueCountFrequency (%)
62.066666671
 
0.1%
62.31
 
0.1%
63.51
 
0.1%
65.23
0.2%
65.81
 
0.1%
ValueCountFrequency (%)
118.351
0.1%
118.21251
0.1%
118.0751
0.1%
117.81
0.1%
115.451
0.1%

hematocrit
Real number (ℝ≥0)

Distinct970
Distinct (%)53.1%
Missing9
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean36.53594158
Minimum14.86666667
Maximum51.7
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:34.169953image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum14.86666667
5-th percentile28.25527273
Q133.4
median36.7
Q339.86190476
95-th percentile45.2
Maximum51.7
Range36.83333333
Interquartile range (IQR)6.461904762

Descriptive statistics

Standard deviation5.223930512
Coefficient of variation (CV)0.1429805908
Kurtosis1.007701119
Mean36.53594158
Median Absolute Deviation (MAD)3.2
Skewness-0.2606516315
Sum66751.16527
Variance27.28945
MonotocityNot monotonic
2021-04-12T17:12:34.248594image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.318
 
1.0%
32.118
 
1.0%
37.316
 
0.9%
3715
 
0.8%
38.115
 
0.8%
3913
 
0.7%
39.913
 
0.7%
34.913
 
0.7%
37.913
 
0.7%
32.512
 
0.7%
Other values (960)1681
91.6%
ValueCountFrequency (%)
14.866666671
0.1%
15.233333331
0.1%
15.62
0.1%
15.81
0.1%
16.71
0.1%
ValueCountFrequency (%)
51.75
0.3%
50.41
 
0.1%
50.41
 
0.1%
50.12
 
0.1%
49.81
 
0.1%

white_blood_cell_count
Real number (ℝ≥0)

Distinct1411
Distinct (%)77.2%
Missing9
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean13.25010903
Minimum0.24
Maximum1129.666667
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:34.329659image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.24
5-th percentile3.466
Q15.202916667
median7.881666667
Q312.81357143
95-th percentile24.814
Maximum1129.666667
Range1129.426667
Interquartile range (IQR)7.610654762

Descriptive statistics

Standard deviation42.58946387
Coefficient of variation (CV)3.21427271
Kurtosis347.6746916
Mean13.25010903
Median Absolute Deviation (MAD)3.278333333
Skewness16.93413026
Sum24207.94921
Variance1813.862433
MonotocityNot monotonic
2021-04-12T17:12:34.406748image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.089
 
0.5%
5.567
 
0.4%
106
 
0.3%
24.646
 
0.3%
6.426
 
0.3%
5.286
 
0.3%
4.336
 
0.3%
13.776
 
0.3%
3.915
 
0.3%
5.715
 
0.3%
Other values (1401)1765
96.1%
(Missing)9
 
0.5%
ValueCountFrequency (%)
0.241
0.1%
0.71
0.1%
0.711
0.1%
0.751
0.1%
0.82
0.1%
ValueCountFrequency (%)
1129.6666671
 
0.1%
605.84
0.2%
404.21
 
0.1%
354.671
 
0.1%
341.81
 
0.1%

tumor_necrosis_factor
Real number (ℝ≥0)

MISSING

Distinct228
Distinct (%)17.7%
Missing549
Missing (%)29.9%
Infinite0
Infinite (%)0.0%
Mean12.25974922
Minimum4
Maximum161.2157895
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:34.489424image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4.9
Q17
median8.7
Q312
95-th percentile28.9
Maximum161.2157895
Range157.2157895
Interquartile range (IQR)5

Descriptive statistics

Standard deviation12.98257261
Coefficient of variation (CV)1.058959069
Kurtosis42.00962725
Mean12.25974922
Median Absolute Deviation (MAD)2.1
Skewness5.500313494
Sum15778.29724
Variance168.5471916
MonotocityNot monotonic
2021-04-12T17:12:34.565465image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
443
 
2.3%
6.739
 
2.1%
7.537
 
2.0%
8.635
 
1.9%
7.732
 
1.7%
10.431
 
1.7%
8.327
 
1.5%
10.725
 
1.4%
9.123
 
1.3%
10.223
 
1.3%
Other values (218)972
52.9%
(Missing)549
29.9%
ValueCountFrequency (%)
443
2.3%
4.1909090911
 
0.1%
4.2444444441
 
0.1%
4.2833333331
 
0.1%
4.67
 
0.4%
ValueCountFrequency (%)
161.21578951
0.1%
147.64736841
0.1%
134.07894741
0.1%
127.29473681
0.1%
120.51052631
0.1%
Distinct678
Distinct (%)37.1%
Missing9
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean343.4698225
Minimum298.5714286
Maximum488
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:34.644509image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum298.5714286
5-th percentile317.15
Q1334
median343
Q3350.9090909
95-th percentile369
Maximum488
Range189.4285714
Interquartile range (IQR)16.90909091

Descriptive statistics

Standard deviation18.47394785
Coefficient of variation (CV)0.05378623286
Kurtosis15.23705013
Mean343.4698225
Median Absolute Deviation (MAD)8.375
Skewness2.43667631
Sum627519.3657
Variance341.2867493
MonotocityNot monotonic
2021-04-12T17:12:34.718326image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34942
 
2.3%
34341
 
2.2%
34640
 
2.2%
34237
 
2.0%
34736
 
2.0%
34136
 
2.0%
33833
 
1.8%
33929
 
1.6%
33128
 
1.5%
35427
 
1.5%
Other values (668)1478
80.5%
ValueCountFrequency (%)
298.57142861
 
0.1%
2994
0.2%
3011
 
0.1%
301.71428571
 
0.1%
302.85714291
 
0.1%
ValueCountFrequency (%)
4882
0.1%
487.27272731
 
0.1%
478.36363641
 
0.1%
469.45454551
 
0.1%
4694
0.2%

fibrinogen
Real number (ℝ≥0)

MISSING

Distinct822
Distinct (%)50.6%
Missing211
Missing (%)11.5%
Infinite0
Infinite (%)0.0%
Mean4.448804058
Minimum0.51
Maximum10.78
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:34.796632image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.51
5-th percentile1.567214286
Q13.26
median4.416363636
Q35.507142857
95-th percentile7.406
Maximum10.78
Range10.27
Interquartile range (IQR)2.247142857

Descriptive statistics

Standard deviation1.729627485
Coefficient of variation (CV)0.38878482
Kurtosis0.2026180228
Mean4.448804058
Median Absolute Deviation (MAD)1.136363636
Skewness0.2896479735
Sum7229.306594
Variance2.991611237
MonotocityNot monotonic
2021-04-12T17:12:34.872079image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.9320
 
1.1%
3.2616
 
0.9%
6.3315
 
0.8%
6.2413
 
0.7%
4.8712
 
0.7%
3.0412
 
0.7%
3.6412
 
0.7%
5.1912
 
0.7%
2.3612
 
0.7%
4.1111
 
0.6%
Other values (812)1490
81.2%
(Missing)211
 
11.5%
ValueCountFrequency (%)
0.511
 
0.1%
0.551
 
0.1%
0.571
 
0.1%
0.63
0.2%
0.621
 
0.1%
ValueCountFrequency (%)
10.781
 
0.1%
10.594
0.2%
9.692
0.1%
9.631
 
0.1%
9.4281
 
0.1%

interleukin_1
Real number (ℝ≥0)

MISSING

Distinct59
Distinct (%)4.6%
Missing549
Missing (%)29.9%
Infinite0
Infinite (%)0.0%
Mean6.242457033
Minimum5
Maximum88.5
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:35.118877image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q15
median5
Q35
95-th percentile13
Maximum88.5
Range83.5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.089636248
Coefficient of variation (CV)0.975519129
Kurtosis107.6516679
Mean6.242457033
Median Absolute Deviation (MAD)0
Skewness9.140629998
Sum8034.042201
Variance37.08366963
MonotocityNot monotonic
2021-04-12T17:12:35.188590image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
51134
61.8%
16.210
 
0.5%
138
 
0.4%
5.17
 
0.4%
25.17
 
0.4%
7.36
 
0.3%
6.46
 
0.3%
6.66
 
0.3%
66
 
0.3%
116
 
0.3%
Other values (49)91
 
5.0%
(Missing)549
29.9%
ValueCountFrequency (%)
51134
61.8%
5.17
 
0.4%
5.24
 
0.2%
5.2470588241
 
0.1%
5.32
 
0.1%
ValueCountFrequency (%)
88.54
0.2%
50.11
 
0.1%
39.81
 
0.1%
35.066666671
 
0.1%
346
0.3%

urea
Real number (ℝ≥0)

Distinct923
Distinct (%)50.5%
Missing9
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean8.76093592
Minimum0.8
Maximum62.3
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:35.260783image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.8
5-th percentile2.620634921
Q13.896153846
median5.6
Q310.5
95-th percentile26.08
Maximum62.3
Range61.5
Interquartile range (IQR)6.603846154

Descriptive statistics

Standard deviation8.030875584
Coefficient of variation (CV)0.9166686822
Kurtosis8.341518048
Mean8.76093592
Median Absolute Deviation (MAD)2.3
Skewness2.559789494
Sum16006.22993
Variance64.49496264
MonotocityNot monotonic
2021-04-12T17:12:35.335383image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.827
 
1.5%
3.626
 
1.4%
3.224
 
1.3%
4.723
 
1.3%
4.823
 
1.3%
4.321
 
1.1%
4.421
 
1.1%
2.720
 
1.1%
3.520
 
1.1%
3.919
 
1.0%
Other values (913)1603
87.3%
ValueCountFrequency (%)
0.82
0.1%
1.1111111111
0.1%
1.3751
0.1%
1.52
0.1%
1.61
0.1%
ValueCountFrequency (%)
62.31
0.1%
592
0.1%
56.61
0.1%
55.341
0.1%
55.31
0.1%

lymphocyte_count
Real number (ℝ≥0)

SKEWED

Distinct969
Distinct (%)53.0%
Missing9
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean0.9977986937
Minimum0
Maximum47.7375
Zeros2
Zeros (%)0.1%
Memory size14.5 KiB
2021-04-12T17:12:35.412234image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q10.483
median0.8
Q31.318333333
95-th percentile1.99
Maximum47.7375
Range47.7375
Interquartile range (IQR)0.8353333333

Descriptive statistics

Standard deviation1.755063213
Coefficient of variation (CV)1.758935168
Kurtosis520.7343143
Mean0.9977986937
Median Absolute Deviation (MAD)0.388
Skewness21.45757836
Sum1822.978213
Variance3.080246881
MonotocityNot monotonic
2021-04-12T17:12:35.488671image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.520
 
1.1%
0.2619
 
1.0%
0.815
 
0.8%
0.5915
 
0.8%
0.5114
 
0.8%
0.2314
 
0.8%
0.514
 
0.8%
0.614
 
0.8%
0.4312
 
0.7%
0.3812
 
0.7%
Other values (959)1678
91.4%
ValueCountFrequency (%)
02
0.1%
0.021428571431
 
0.1%
0.035714285711
 
0.1%
0.053
0.2%
0.0751
 
0.1%
ValueCountFrequency (%)
47.73751
0.1%
43.0551
0.1%
33.691
0.1%
3.061
0.1%
2.991
0.1%

ph_value
Real number (ℝ≥0)

MISSING

Distinct267
Distinct (%)20.2%
Missing515
Missing (%)28.1%
Infinite0
Infinite (%)0.0%
Mean6.359729778
Minimum5
Maximum7.565
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:35.561715image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q16
median6.342105263
Q36.875
95-th percentile7.456
Maximum7.565
Range2.565
Interquartile range (IQR)0.875

Descriptive statistics

Standard deviation0.6668404989
Coefficient of variation (CV)0.10485359
Kurtosis-0.5820244378
Mean6.359729778
Median Absolute Deviation (MAD)0.3421052632
Skewness0.05796621252
Sum8401.203037
Variance0.4446762509
MonotocityNot monotonic
2021-04-12T17:12:35.642743image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6397
21.6%
6.5250
13.6%
5.597
 
5.3%
572
 
3.9%
769
 
3.8%
7.40313
 
0.7%
7.47413
 
0.7%
7.40711
 
0.6%
7.41310
 
0.5%
7.4269
 
0.5%
Other values (257)380
20.7%
(Missing)515
28.1%
ValueCountFrequency (%)
572
3.9%
5.1428571431
 
0.1%
5.1538461541
 
0.1%
5.2307692311
 
0.1%
5.3333333331
 
0.1%
ValueCountFrequency (%)
7.5659
0.5%
7.5561
 
0.1%
7.5431
 
0.1%
7.52052
 
0.1%
7.5171
 
0.1%

red_blood_cell_count
Real number (ℝ≥0)

Distinct1118
Distinct (%)61.2%
Missing9
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean7.535605946
Minimum0.3
Maximum266.0633333
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:35.718826image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile2.9353
Q13.65
median4.18
Q34.747944444
95-th percentile22.575625
Maximum266.0633333
Range265.7633333
Interquartile range (IQR)1.097944444

Descriptive statistics

Standard deviation17.22321693
Coefficient of variation (CV)2.285578234
Kurtosis92.63320829
Mean7.535605946
Median Absolute Deviation (MAD)0.55
Skewness8.558457923
Sum13767.55206
Variance296.6392015
MonotocityNot monotonic
2021-04-12T17:12:35.797494image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.616
 
0.9%
3.8411
 
0.6%
4.0211
 
0.6%
4.710
 
0.5%
3.5410
 
0.5%
4.4710
 
0.5%
3.519
 
0.5%
3.659
 
0.5%
3.889
 
0.5%
3.629
 
0.5%
Other values (1108)1723
93.8%
ValueCountFrequency (%)
0.31
0.1%
0.61
0.1%
0.61
0.1%
0.81
0.1%
1.11
0.1%
ValueCountFrequency (%)
266.06333331
0.1%
237.71
0.1%
2341
0.1%
219.71
0.1%
185.04714291
0.1%

eosinophil_count
Real number (ℝ≥0)

ZEROS

Distinct384
Distinct (%)21.0%
Missing9
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean0.03904978766
Minimum0
Maximum0.49
Zeros653
Zeros (%)35.6%
Memory size14.5 KiB
2021-04-12T17:12:35.872788image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.01
Q30.06
95-th percentile0.1579333333
Maximum0.49
Range0.49
Interquartile range (IQR)0.06

Descriptive statistics

Standard deviation0.05891573941
Coefficient of variation (CV)1.508733925
Kurtosis9.873809716
Mean0.03904978766
Median Absolute Deviation (MAD)0.01
Skewness2.536878103
Sum71.34396205
Variance0.00347106435
MonotocityNot monotonic
2021-04-12T17:12:35.953079image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0653
35.6%
0.01102
 
5.6%
0.0264
 
3.5%
0.0749
 
2.7%
0.0341
 
2.2%
0.0936
 
2.0%
0.0836
 
2.0%
0.0532
 
1.7%
0.0430
 
1.6%
0.0629
 
1.6%
Other values (374)755
41.1%
ValueCountFrequency (%)
0653
35.6%
0.00051
 
0.1%
0.00083333333331
 
0.1%
0.00083333333331
 
0.1%
0.00090909090911
 
0.1%
ValueCountFrequency (%)
0.491
 
0.1%
0.463
0.2%
0.44666666671
 
0.1%
0.3741
 
0.1%
0.332
0.1%

corrected_calcium
Real number (ℝ≥0)

Distinct649
Distinct (%)35.7%
Missing18
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean2.355572562
Minimum1.65
Maximum2.79
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:36.027645image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1.65
5-th percentile2.14
Q12.280227273
median2.365857143
Q32.4309375
95-th percentile2.53
Maximum2.79
Range1.14
Interquartile range (IQR)0.1507102273

Descriptive statistics

Standard deviation0.1218479909
Coefficient of variation (CV)0.05172754721
Kurtosis1.128528283
Mean2.355572562
Median Absolute Deviation (MAD)0.07585714286
Skewness-0.3080426341
Sum4282.430918
Variance0.01484693289
MonotocityNot monotonic
2021-04-12T17:12:36.108534image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.3452
 
2.8%
2.4149
 
2.7%
2.4647
 
2.6%
2.3544
 
2.4%
2.4343
 
2.3%
2.3843
 
2.3%
2.3642
 
2.3%
2.3936
 
2.0%
2.3735
 
1.9%
2.2732
 
1.7%
Other values (639)1395
76.0%
ValueCountFrequency (%)
1.651
 
0.1%
1.914
0.2%
1.921
 
0.1%
1.9823076921
 
0.1%
1.9930769231
 
0.1%
ValueCountFrequency (%)
2.796
0.3%
2.772
 
0.1%
2.741
 
0.1%
2.71
 
0.1%
2.681
 
0.1%

serum_potassium
Real number (ℝ≥0)

Distinct992
Distinct (%)54.4%
Missing12
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean4.462472376
Minimum2.76
Maximum12.8
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:36.189150image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.76
5-th percentile3.44
Q13.97
median4.401666667
Q34.8085
95-th percentile5.7817
Maximum12.8
Range10.04
Interquartile range (IQR)0.8385

Descriptive statistics

Standard deviation0.7401589126
Coefficient of variation (CV)0.1658629679
Kurtosis9.476830101
Mean4.462472376
Median Absolute Deviation (MAD)0.4183333333
Skewness1.478246915
Sum8139.549614
Variance0.5478352159
MonotocityNot monotonic
2021-04-12T17:12:36.262524image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.214
 
0.8%
4.2614
 
0.8%
4.7213
 
0.7%
4.5812
 
0.7%
4.4612
 
0.7%
4.1812
 
0.7%
4.6112
 
0.7%
4.512
 
0.7%
3.9911
 
0.6%
4.111
 
0.6%
Other values (982)1701
92.6%
(Missing)12
 
0.7%
ValueCountFrequency (%)
2.762
0.1%
2.7685714291
0.1%
2.7771428571
0.1%
2.7814285711
0.1%
2.7857142861
0.1%
ValueCountFrequency (%)
12.81
0.1%
7.6981818181
0.1%
7.182
0.1%
7.071
0.1%
7.041
0.1%

glucose
Real number (ℝ≥0)

MISSING

Distinct1121
Distinct (%)61.9%
Missing24
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean8.873268437
Minimum1
Maximum43.01
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:36.337249image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.63
Q15.63
median7.244285714
Q310.23057692
95-th percentile19.08
Maximum43.01
Range42.01
Interquartile range (IQR)4.600576923

Descriptive statistics

Standard deviation4.900680256
Coefficient of variation (CV)0.552297081
Kurtosis5.854758703
Mean8.873268437
Median Absolute Deviation (MAD)1.914285714
Skewness2.143601679
Sum16078.36241
Variance24.01666697
MonotocityNot monotonic
2021-04-12T17:12:36.409420image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.2311
 
0.6%
5.510
 
0.5%
9.2710
 
0.5%
7.7110
 
0.5%
12.3810
 
0.5%
5.789
 
0.5%
11.669
 
0.5%
7.399
 
0.5%
15.519
 
0.5%
9.398
 
0.4%
Other values (1111)1717
93.5%
(Missing)24
 
1.3%
ValueCountFrequency (%)
11
 
0.1%
3.7921
 
0.1%
3.8831
 
0.1%
4.073
0.2%
4.1271
 
0.1%
ValueCountFrequency (%)
43.011
 
0.1%
36.873333331
 
0.1%
35.313
0.2%
31.661
 
0.1%
30.736666671
 
0.1%

neutrophils_count
Real number (ℝ≥0)

Distinct1348
Distinct (%)73.8%
Missing9
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean7.871789288
Minimum0.13
Maximum33.47428571
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:36.483618image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.13
5-th percentile1.894466667
Q13.235
median5.80125
Q311.02875
95-th percentile20.109
Maximum33.47428571
Range33.34428571
Interquartile range (IQR)7.79375

Descriptive statistics

Standard deviation6.05205344
Coefficient of variation (CV)0.768828181
Kurtosis1.956949422
Mean7.871789288
Median Absolute Deviation (MAD)3.12375
Skewness1.420570133
Sum14381.75903
Variance36.62735084
MonotocityNot monotonic
2021-04-12T17:12:36.560303image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.7113
 
0.7%
2.7610
 
0.5%
4.57
 
0.4%
3.17
 
0.4%
2.797
 
0.4%
5.667
 
0.4%
3.066
 
0.3%
3.446
 
0.3%
13.266
 
0.3%
3.36
 
0.3%
Other values (1338)1752
95.4%
(Missing)9
 
0.5%
ValueCountFrequency (%)
0.131
0.1%
0.322
0.1%
0.4481
0.1%
0.512
0.1%
0.8151
0.1%
ValueCountFrequency (%)
33.474285711
0.1%
32.662857141
0.1%
32.257142861
0.1%
32.221
0.1%
32.121
0.1%

direct_bilirubin
Real number (ℝ≥0)

Distinct871
Distinct (%)47.7%
Missing9
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean9.71025054
Minimum1.6
Maximum360.6
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:36.639749image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1.6
5-th percentile1.977575758
Q13.3
median4.9
Q37.9
95-th percentile31.0475
Maximum360.6
Range359
Interquartile range (IQR)4.6

Descriptive statistics

Standard deviation22.26294996
Coefficient of variation (CV)2.292726626
Kurtosis114.0155246
Mean9.71025054
Median Absolute Deviation (MAD)2
Skewness9.418618646
Sum17740.62774
Variance495.6389408
MonotocityNot monotonic
2021-04-12T17:12:36.715034image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.636
 
2.0%
528
 
1.5%
3.527
 
1.5%
3.424
 
1.3%
3.723
 
1.3%
2.121
 
1.1%
2.521
 
1.1%
2.820
 
1.1%
320
 
1.1%
2.620
 
1.1%
Other values (861)1587
86.4%
ValueCountFrequency (%)
1.636
2.0%
1.6181818181
 
0.1%
1.6333333332
 
0.1%
1.6363636361
 
0.1%
1.6666666673
 
0.2%
ValueCountFrequency (%)
360.61
 
0.1%
331.741
 
0.1%
317.311
 
0.1%
288.451
 
0.1%
242.93
0.2%

mean_platelet_volume
Real number (ℝ≥0)

MISSING

Distinct639
Distinct (%)35.6%
Missing41
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean11.02425926
Minimum8.5
Maximum15
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:36.792735image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum8.5
5-th percentile9.4
Q110.24494949
median10.9
Q311.7
95-th percentile13.1
Maximum15
Range6.5
Interquartile range (IQR)1.455050505

Descriptive statistics

Standard deviation1.133875149
Coefficient of variation (CV)0.102852729
Kurtosis0.410314631
Mean11.02425926
Median Absolute Deviation (MAD)0.7
Skewness0.6447942724
Sum19788.54536
Variance1.285672854
MonotocityNot monotonic
2021-04-12T17:12:36.864932image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.752
 
2.8%
10.848
 
2.6%
11.146
 
2.5%
10.443
 
2.3%
10.339
 
2.1%
9.938
 
2.1%
10.937
 
2.0%
11.835
 
1.9%
1135
 
1.9%
9.834
 
1.9%
Other values (629)1388
75.6%
(Missing)41
 
2.2%
ValueCountFrequency (%)
8.57
0.4%
8.7428571431
 
0.1%
8.82
 
0.1%
8.8285714291
 
0.1%
8.91
 
0.1%
ValueCountFrequency (%)
152
0.1%
14.92
0.1%
14.757142861
0.1%
14.72
0.1%
14.487096771
0.1%

ferritin
Real number (ℝ≥0)

MISSING

Distinct408
Distinct (%)31.5%
Missing542
Missing (%)29.5%
Infinite0
Infinite (%)0.0%
Mean1622.491109
Minimum17.8
Maximum50000
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:36.939941image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum17.8
5-th percentile72.4
Q1446.1
median875.4
Q31598.2
95-th percentile3889.5
Maximum50000
Range49982.2
Interquartile range (IQR)1152.1

Descriptive statistics

Standard deviation3928.224934
Coefficient of variation (CV)2.421107217
Kurtosis107.1660028
Mean1622.491109
Median Absolute Deviation (MAD)517.6303571
Skewness9.456556508
Sum2099503.496
Variance15430951.13
MonotocityNot monotonic
2021-04-12T17:12:37.018160image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
965.617
 
0.9%
915.216
 
0.9%
71116
 
0.9%
2456.815
 
0.8%
2173.915
 
0.8%
773.314
 
0.8%
1519.912
 
0.7%
2664.312
 
0.7%
118911
 
0.6%
2047.811
 
0.6%
Other values (398)1155
62.9%
(Missing)542
29.5%
ValueCountFrequency (%)
17.81
 
0.1%
20.24
0.2%
27.751
 
0.1%
29.84
0.2%
30.74
0.2%
ValueCountFrequency (%)
500006
0.3%
1784810
0.5%
157183
 
0.2%
13174.568421
 
0.1%
10631.136841
 
0.1%

rbc_distribution_width_sd
Real number (ℝ≥0)

MISSING

Distinct911
Distinct (%)50.5%
Missing31
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean42.60095982
Minimum31.3
Maximum110
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:37.093762image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum31.3
5-th percentile36.075
Q138.54
median40.93333333
Q344.9
95-th percentile54.18
Maximum110
Range78.7
Interquartile range (IQR)6.36

Descriptive statistics

Standard deviation6.416363585
Coefficient of variation (CV)0.15061547
Kurtosis17.26679769
Mean42.60095982
Median Absolute Deviation (MAD)2.858333333
Skewness2.812008451
Sum76894.73248
Variance41.16972166
MonotocityNot monotonic
2021-04-12T17:12:37.168758image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39.821
 
1.1%
37.220
 
1.1%
41.120
 
1.1%
39.319
 
1.0%
42.518
 
1.0%
36.518
 
1.0%
40.917
 
0.9%
38.717
 
0.9%
41.517
 
0.9%
4316
 
0.9%
Other values (901)1622
88.3%
(Missing)31
 
1.7%
ValueCountFrequency (%)
31.32
 
0.1%
32.51
 
0.1%
32.533333331
 
0.1%
33.43
0.2%
33.86
0.3%
ValueCountFrequency (%)
1101
0.1%
103.41
0.1%
100.11
0.1%
86.91
0.1%
70.21
0.1%

thrombin_time
Real number (ℝ≥0)

MISSING

Distinct571
Distinct (%)35.1%
Missing211
Missing (%)11.5%
Infinite0
Infinite (%)0.0%
Mean17.82132979
Minimum13
Maximum150.375
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:37.455276image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile14.8
Q115.8
median16.7
Q318.2
95-th percentile22.888
Maximum150.375
Range137.375
Interquartile range (IQR)2.4

Descriptive statistics

Standard deviation6.718548675
Coefficient of variation (CV)0.3769948009
Kurtosis219.6594694
Mean17.82132979
Median Absolute Deviation (MAD)1.14
Skewness13.06248159
Sum28959.6609
Variance45.1388963
MonotocityNot monotonic
2021-04-12T17:12:37.524956image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15.858
 
3.2%
15.448
 
2.6%
15.947
 
2.6%
16.344
 
2.4%
16.941
 
2.2%
16.536
 
2.0%
17.134
 
1.9%
17.233
 
1.8%
1733
 
1.8%
16.631
 
1.7%
Other values (561)1220
66.4%
(Missing)211
 
11.5%
ValueCountFrequency (%)
131
0.1%
13.3751
0.1%
13.421
0.1%
13.51
0.1%
13.56251
0.1%
ValueCountFrequency (%)
150.3751
0.1%
144.91
0.1%
119.121
0.1%
93.341
0.1%
81.2251
0.1%

lymphocyte
Real number (ℝ≥0)

Distinct1088
Distinct (%)59.6%
Missing9
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean15.3011853
Minimum0
Maximum56.175
Zeros2
Zeros (%)0.1%
Memory size14.5 KiB
2021-04-12T17:12:37.598108image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.6
Q14.111111111
median12.1
Q324.61538462
95-th percentile38.91666667
Maximum56.175
Range56.175
Interquartile range (IQR)20.5042735

Descriptive statistics

Standard deviation12.54709486
Coefficient of variation (CV)0.8200080334
Kurtosis-0.5001629925
Mean15.3011853
Median Absolute Deviation (MAD)8.9125
Skewness0.7402798321
Sum27955.26553
Variance157.4295895
MonotocityNot monotonic
2021-04-12T17:12:37.668698image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.416
 
0.9%
3.316
 
0.9%
2.314
 
0.8%
6.113
 
0.7%
2.812
 
0.7%
23.911
 
0.6%
1311
 
0.6%
3.711
 
0.6%
1.311
 
0.6%
511
 
0.6%
Other values (1078)1701
92.6%
ValueCountFrequency (%)
02
0.1%
0.12857142861
 
0.1%
0.21428571431
 
0.1%
0.33
0.2%
0.61
 
0.1%
ValueCountFrequency (%)
56.1751
0.1%
54.91
0.1%
54.71
0.1%
52.351
0.1%
52.28751
0.1%

hcv_antibody_quantification
Real number (ℝ≥0)

MISSING

Distinct43
Distinct (%)2.9%
Missing347
Missing (%)18.9%
Infinite0
Infinite (%)0.0%
Mean0.1011336123
Minimum0.02
Maximum2.09
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:37.743128image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.02
5-th percentile0.03
Q10.04
median0.06
Q30.09
95-th percentile0.21
Maximum2.09
Range2.07
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.1898351687
Coefficient of variation (CV)1.877072957
Kurtosis55.73665194
Mean0.1011336123
Median Absolute Deviation (MAD)0.02
Skewness6.945267658
Sum150.5879487
Variance0.03603739126
MonotocityNot monotonic
2021-04-12T17:12:37.810100image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0.04278
15.1%
0.06219
11.9%
0.05207
11.3%
0.03149
8.1%
0.07127
 
6.9%
0.08103
 
5.6%
0.0979
 
4.3%
0.171
 
3.9%
0.1142
 
2.3%
0.1430
 
1.6%
Other values (33)184
10.0%
(Missing)347
18.9%
ValueCountFrequency (%)
0.024
 
0.2%
0.03149
8.1%
0.031538461541
 
0.1%
0.034615384621
 
0.1%
0.04278
15.1%
ValueCountFrequency (%)
2.092
0.1%
1.754
0.2%
1.733
0.2%
1.7233333331
 
0.1%
1.7033333331
 
0.1%

d_d_dimer
Real number (ℝ≥0)

MISSING

Distinct653
Distinct (%)36.4%
Missing41
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean6.811873726
Minimum0.21
Maximum60
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:37.882603image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.21
5-th percentile0.24
Q10.5385714286
median1.73
Q314.00119048
95-th percentile21
Maximum60
Range59.79
Interquartile range (IQR)13.46261905

Descriptive statistics

Standard deviation8.668361332
Coefficient of variation (CV)1.272536997
Kurtosis1.407533436
Mean6.811873726
Median Absolute Deviation (MAD)1.41
Skewness1.259061208
Sum12227.31334
Variance75.14048819
MonotocityNot monotonic
2021-04-12T17:12:37.956698image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21354
 
19.3%
0.2273
 
4.0%
0.5124
 
1.3%
0.3123
 
1.3%
0.5822
 
1.2%
0.4121
 
1.1%
0.3620
 
1.1%
12.0519
 
1.0%
0.3919
 
1.0%
1.2319
 
1.0%
Other values (643)1201
65.4%
(Missing)41
 
2.2%
ValueCountFrequency (%)
0.215
 
0.3%
0.2273
4.0%
0.2251
 
0.1%
0.23090909091
 
0.1%
0.23363636361
 
0.1%
ValueCountFrequency (%)
603
0.2%
40.51
 
0.1%
38.631
 
0.1%
35.1041
 
0.1%
30.751
 
0.1%

total_cholesterol
Real number (ℝ≥0)

Distinct1058
Distinct (%)57.9%
Missing9
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean3.645913796
Minimum0.1
Maximum7.3
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:38.034609image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile2.2806
Q12.98
median3.59
Q34.18125
95-th percentile5.3106
Maximum7.3
Range7.2
Interquartile range (IQR)1.20125

Descriptive statistics

Standard deviation0.9528426895
Coefficient of variation (CV)0.2613453698
Kurtosis1.111617888
Mean3.645913796
Median Absolute Deviation (MAD)0.6
Skewness0.3986778491
Sum6661.084506
Variance0.907909191
MonotocityNot monotonic
2021-04-12T17:12:38.109022image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.8515
 
0.8%
3.8414
 
0.8%
3.412
 
0.7%
2.9512
 
0.7%
3.3311
 
0.6%
4.1510
 
0.5%
2.459
 
0.5%
4.349
 
0.5%
2.969
 
0.5%
3.199
 
0.5%
Other values (1048)1717
93.5%
ValueCountFrequency (%)
0.13
0.2%
0.22571428571
 
0.1%
0.47714285711
 
0.1%
0.60285714291
 
0.1%
0.85428571431
 
0.1%
ValueCountFrequency (%)
7.32
0.1%
7.163
0.2%
7.131
 
0.1%
6.921
 
0.1%
6.841
 
0.1%

aspartate_aminotransferase
Real number (ℝ≥0)

Distinct687
Distinct (%)37.6%
Missing9
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean45.39247066
Minimum6.8
Maximum1593
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:38.186871image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum6.8
5-th percentile13.3
Q120
median29
Q342.46428571
95-th percentile98.25714286
Maximum1593
Range1586.2
Interquartile range (IQR)22.46428571

Descriptive statistics

Standard deviation88.48518567
Coefficient of variation (CV)1.949336187
Kurtosis122.3558026
Mean45.39247066
Median Absolute Deviation (MAD)10
Skewness9.889540314
Sum82932.0439
Variance7829.628084
MonotocityNot monotonic
2021-04-12T17:12:38.261478image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2053
 
2.9%
3047
 
2.6%
2145
 
2.5%
1943
 
2.3%
2242
 
2.3%
2435
 
1.9%
1633
 
1.8%
1733
 
1.8%
2530
 
1.6%
1529
 
1.6%
Other values (677)1437
78.3%
ValueCountFrequency (%)
6.81
 
0.1%
74
0.2%
84
0.2%
8.41
 
0.1%
94
0.2%
ValueCountFrequency (%)
15931
0.1%
1357.1666671
0.1%
1121.3333331
0.1%
9671
0.1%
959.51
0.1%

uric_acid
Real number (ℝ≥0)

Distinct1074
Distinct (%)58.8%
Missing9
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean274.3615406
Minimum50.33333333
Maximum1114.5
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:38.341522image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum50.33333333
5-th percentile106.18
Q1187.55
median246
Q3327.6111111
95-th percentile530.22
Maximum1114.5
Range1064.166667
Interquartile range (IQR)140.0611111

Descriptive statistics

Standard deviation139.2960172
Coefficient of variation (CV)0.5077097063
Kurtosis6.547320436
Mean274.3615406
Median Absolute Deviation (MAD)65.5
Skewness1.977564926
Sum501258.5347
Variance19403.38041
MonotocityNot monotonic
2021-04-12T17:12:38.418409image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20316
 
0.9%
26513
 
0.7%
18412
 
0.7%
25912
 
0.7%
21411
 
0.6%
1899
 
0.5%
2469
 
0.5%
2629
 
0.5%
2319
 
0.5%
4159
 
0.5%
Other values (1064)1718
93.6%
ValueCountFrequency (%)
50.333333331
0.1%
521
0.1%
52.714285711
0.1%
53.571428571
0.1%
541
0.1%
ValueCountFrequency (%)
1114.51
0.1%
11031
0.1%
10271
0.1%
1018.81
0.1%
10091
0.1%

hco3
Real number (ℝ≥0)

Distinct897
Distinct (%)49.1%
Missing9
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean23.21321766
Minimum8.9
Maximum36.225
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:38.492955image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum8.9
5-th percentile15.4
Q121.1
median23.6
Q325.8
95-th percentile29
Maximum36.225
Range27.325
Interquartile range (IQR)4.7

Descriptive statistics

Standard deviation4.018203118
Coefficient of variation (CV)0.1730997907
Kurtosis0.8606362629
Mean23.21321766
Median Absolute Deviation (MAD)2.3
Skewness-0.5219581703
Sum42410.54866
Variance16.1459563
MonotocityNot monotonic
2021-04-12T17:12:38.565081image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22.924
 
1.3%
25.324
 
1.3%
23.521
 
1.1%
23.619
 
1.0%
21.819
 
1.0%
25.816
 
0.9%
23.715
 
0.8%
25.115
 
0.8%
23.915
 
0.8%
22.615
 
0.8%
Other values (887)1644
89.5%
ValueCountFrequency (%)
8.91
 
0.1%
9.72
0.1%
9.7751
 
0.1%
9.81
 
0.1%
104
0.2%
ValueCountFrequency (%)
36.2251
0.1%
36.21
0.1%
35.51
0.1%
35.161
0.1%
34.41
0.1%

calcium
Real number (ℝ≥0)

Distinct678
Distinct (%)37.2%
Missing12
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean2.087795604
Minimum1.17
Maximum2.62
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:38.639144image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1.17
5-th percentile1.841244444
Q11.99
median2.1
Q32.19
95-th percentile2.32
Maximum2.62
Range1.45
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.1534024044
Coefficient of variation (CV)0.07347577712
Kurtosis2.349599663
Mean2.087795604
Median Absolute Deviation (MAD)0.1
Skewness-0.5294180837
Sum3808.139181
Variance0.02353229769
MonotocityNot monotonic
2021-04-12T17:12:38.713651image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0845
 
2.5%
2.1438
 
2.1%
2.1637
 
2.0%
2.0236
 
2.0%
2.1334
 
1.9%
2.1234
 
1.9%
2.2233
 
1.8%
2.132
 
1.7%
2.0432
 
1.7%
2.0731
 
1.7%
Other values (668)1472
80.2%
ValueCountFrequency (%)
1.171
 
0.1%
1.34
0.2%
1.311
 
0.1%
1.4351
 
0.1%
1.63
0.2%
ValueCountFrequency (%)
2.621
0.1%
2.61
0.1%
2.5942857141
0.1%
2.5828571431
0.1%
2.5771428571
0.1%
Distinct715
Distinct (%)48.3%
Missing357
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean2858.563196
Minimum5
Maximum70000
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:38.793417image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile9
Q183
median419.5
Q31765
95-th percentile13741.35818
Maximum70000
Range69995
Interquartile range (IQR)1682

Descriptive statistics

Standard deviation8357.959113
Coefficient of variation (CV)2.923832198
Kurtosis36.66660633
Mean2858.563196
Median Absolute Deviation (MAD)394.5
Skewness5.669996183
Sum4227814.967
Variance69855480.53
MonotocityNot monotonic
2021-04-12T17:12:38.866269image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
542
 
2.3%
927
 
1.5%
2323
 
1.3%
12519
 
1.0%
2619
 
1.0%
1317
 
0.9%
8317
 
0.9%
3017
 
0.9%
1714
 
0.8%
2914
 
0.8%
Other values (705)1270
69.2%
(Missing)357
 
19.4%
ValueCountFrequency (%)
542
2.3%
74
 
0.2%
84
 
0.2%
927
1.5%
10.751
 
0.1%
ValueCountFrequency (%)
700007
0.4%
69339.81
 
0.1%
68679.61
 
0.1%
666991
 
0.1%
61677.857141
 
0.1%

lactate_dehydrogenase
Real number (ℝ≥0)

Distinct1130
Distinct (%)61.9%
Missing9
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean460.5441625
Minimum110
Maximum1867
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:38.942142image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum110
5-th percentile172.8
Q1223
median339
Q3601
95-th percentile1150.7
Maximum1867
Range1757
Interquartile range (IQR)378

Descriptive statistics

Standard deviation333.5198558
Coefficient of variation (CV)0.7241864797
Kurtosis4.086075257
Mean460.5441625
Median Absolute Deviation (MAD)139
Skewness1.904544542
Sum841414.1849
Variance111235.4942
MonotocityNot monotonic
2021-04-12T17:12:39.012656image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17917
 
0.9%
21116
 
0.9%
186713
 
0.7%
19010
 
0.5%
2309
 
0.5%
2928
 
0.4%
6648
 
0.4%
3128
 
0.4%
1768
 
0.4%
3228
 
0.4%
Other values (1120)1722
93.8%
(Missing)9
 
0.5%
ValueCountFrequency (%)
1102
0.1%
1131
0.1%
131.751
0.1%
135.81
0.1%
137.81
0.1%
ValueCountFrequency (%)
186713
0.7%
1860.6251
 
0.1%
18501
 
0.1%
1848.21
 
0.1%
18201
 
0.1%

platelet_large_cell_ratio
Real number (ℝ≥0)

MISSING

Distinct1004
Distinct (%)55.9%
Missing41
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean32.66537259
Minimum11.2
Maximum62.2
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:39.087336image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum11.2
5-th percentile19.67875
Q126.4
median31.6
Q338.2
95-th percentile48.4
Maximum62.2
Range51
Interquartile range (IQR)11.8

Descriptive statistics

Standard deviation8.886643166
Coefficient of variation (CV)0.2720508741
Kurtosis0.1746341799
Mean32.66537259
Median Absolute Deviation (MAD)5.95
Skewness0.5164779695
Sum58634.3438
Variance78.97242675
MonotocityNot monotonic
2021-04-12T17:12:39.164000image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.618
 
1.0%
36.316
 
0.9%
42.615
 
0.8%
43.515
 
0.8%
29.813
 
0.7%
28.613
 
0.7%
29.313
 
0.7%
32.412
 
0.7%
30.112
 
0.7%
34.312
 
0.7%
Other values (994)1656
90.2%
(Missing)41
 
2.2%
ValueCountFrequency (%)
11.27
0.4%
14.92
 
0.1%
15.057142861
 
0.1%
15.21
 
0.1%
15.771428571
 
0.1%
ValueCountFrequency (%)
62.22
0.1%
61.52
0.1%
61.11
0.1%
60.62
0.1%
59.245161291
0.1%

interleukin_6
Real number (ℝ≥0)

MISSING

Distinct346
Distinct (%)26.7%
Missing541
Missing (%)29.5%
Infinite0
Infinite (%)0.0%
Mean126.1054777
Minimum1.5
Maximum5000
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:39.237505image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1.5
5-th percentile1.5
Q17.95
median26.56
Q373.93
95-th percentile284.3
Maximum5000
Range4998.5
Interquartile range (IQR)65.98

Descriptive statistics

Standard deviation532.8948123
Coefficient of variation (CV)4.225786396
Kurtosis66.3422967
Mean126.1054777
Median Absolute Deviation (MAD)23.48
Skewness8.009381587
Sum163306.5937
Variance283976.881
MonotocityNot monotonic
2021-04-12T17:12:39.314464image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.5107
 
5.8%
164.416
 
0.9%
35.1516
 
0.9%
284.315
 
0.8%
58.1415
 
0.8%
18.314
 
0.8%
32.8114
 
0.8%
130.912
 
0.7%
798.911
 
0.6%
2.9811
 
0.6%
Other values (336)1064
58.0%
(Missing)541
29.5%
ValueCountFrequency (%)
1.5107
5.8%
1.63
 
0.2%
1.74
 
0.2%
1.746
 
0.3%
1.7818181821
 
0.1%
ValueCountFrequency (%)
500010
0.5%
4738.3905261
 
0.1%
4256.6461541
 
0.1%
4215.1715791
 
0.1%
3691.9526321
 
0.1%

fibrin_degradation_products
Real number (ℝ≥0)

MISSING

Distinct239
Distinct (%)20.3%
Missing661
Missing (%)36.0%
Infinite0
Infinite (%)0.0%
Mean56.29551847
Minimum4
Maximum190.8
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:39.389985image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4
Q14
median15
Q3150
95-th percentile150
Maximum190.8
Range186.8
Interquartile range (IQR)146

Descriptive statistics

Standard deviation63.12371842
Coefficient of variation (CV)1.12129207
Kurtosis-1.365288531
Mean56.29551847
Median Absolute Deviation (MAD)11
Skewness0.6652065859
Sum66147.23421
Variance3984.603827
MonotocityNot monotonic
2021-04-12T17:12:39.466080image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4372
20.3%
150306
16.7%
7.423
 
1.3%
5.517
 
0.9%
4.114
 
0.8%
5.112
 
0.7%
48.112
 
0.7%
7.211
 
0.6%
4.911
 
0.6%
6.111
 
0.6%
Other values (229)386
21.0%
(Missing)661
36.0%
ValueCountFrequency (%)
4372
20.3%
4.114
 
0.8%
4.11251
 
0.1%
4.211
 
0.6%
4.2251
 
0.1%
ValueCountFrequency (%)
190.85
 
0.3%
150306
16.7%
146.31818181
 
0.1%
144.37894741
 
0.1%
141.41176471
 
0.1%

monocytes_count
Real number (ℝ≥0)

SKEWED

Distinct799
Distinct (%)43.7%
Missing9
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean0.5103911744
Minimum0.02222222222
Maximum39.92
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:39.546087image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.02222222222
5-th percentile0.13
Q10.2855
median0.41
Q30.569
95-th percentile0.924375
Maximum39.92
Range39.89777778
Interquartile range (IQR)0.2835

Descriptive statistics

Standard deviation1.520854288
Coefficient of variation (CV)2.979781713
Kurtosis578.670334
Mean0.5103911744
Median Absolute Deviation (MAD)0.14
Skewness23.72535849
Sum932.4846756
Variance2.312997766
MonotocityNot monotonic
2021-04-12T17:12:39.624762image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4141
 
2.2%
0.3233
 
1.8%
0.4327
 
1.5%
0.3724
 
1.3%
0.4723
 
1.3%
0.3422
 
1.2%
0.2522
 
1.2%
0.3121
 
1.1%
0.320
 
1.1%
0.3820
 
1.1%
Other values (789)1574
85.7%
ValueCountFrequency (%)
0.022222222221
 
0.1%
0.024444444441
 
0.1%
0.026666666671
 
0.1%
0.033
0.2%
0.033333333331
 
0.1%
ValueCountFrequency (%)
39.921
0.1%
36.941
0.1%
35.451
0.1%
2.671
0.1%
1.9051
0.1%

plt_distribution_width
Real number (ℝ≥0)

MISSING

Distinct787
Distinct (%)43.8%
Missing41
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean13.34216642
Minimum8.1
Maximum25.3
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:39.706052image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum8.1
5-th percentile9.728787879
Q111.3
median12.66666667
Q314.7
95-th percentile18.8
Maximum25.3
Range17.2
Interquartile range (IQR)3.4

Descriptive statistics

Standard deviation2.947508941
Coefficient of variation (CV)0.2209168174
Kurtosis1.771839397
Mean13.34216642
Median Absolute Deviation (MAD)1.633333333
Skewness1.257348324
Sum23949.18872
Variance8.68780896
MonotocityNot monotonic
2021-04-12T17:12:39.781156image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.328
 
1.5%
11.826
 
1.4%
10.824
 
1.3%
11.424
 
1.3%
1422
 
1.2%
13.422
 
1.2%
10.722
 
1.2%
11.922
 
1.2%
12.219
 
1.0%
14.719
 
1.0%
Other values (777)1567
85.3%
(Missing)41
 
2.2%
ValueCountFrequency (%)
8.11
 
0.1%
8.22
 
0.1%
8.97
0.4%
8.9571428571
 
0.1%
91
 
0.1%
ValueCountFrequency (%)
25.31
 
0.1%
25.21
 
0.1%
24.93
0.2%
24.82
0.1%
24.657142861
 
0.1%

globulin
Real number (ℝ≥0)

Distinct927
Distinct (%)50.7%
Missing9
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean33.47873431
Minimum10.1
Maximum50.2
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:39.862146image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum10.1
5-th percentile25.52571429
Q130.1
median33.1
Q336.5
95-th percentile43
Maximum50.2
Range40.1
Interquartile range (IQR)6.4

Descriptive statistics

Standard deviation5.220114342
Coefficient of variation (CV)0.1559232883
Kurtosis0.4620964522
Mean33.47873431
Median Absolute Deviation (MAD)3.1
Skewness0.2360512772
Sum61165.64758
Variance27.24959374
MonotocityNot monotonic
2021-04-12T17:12:39.940385image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32.221
 
1.1%
34.119
 
1.0%
33.418
 
1.0%
30.418
 
1.0%
32.417
 
0.9%
34.417
 
0.9%
33.117
 
0.9%
31.616
 
0.9%
31.516
 
0.9%
31.714
 
0.8%
Other values (917)1654
90.1%
ValueCountFrequency (%)
10.11
 
0.1%
15.42
 
0.1%
18.53
0.2%
19.41
 
0.1%
20.95
0.3%
ValueCountFrequency (%)
50.21
0.1%
50.171428571
0.1%
50.028571431
0.1%
49.61
0.1%
49.542857141
0.1%

γ_glutamyl_transpeptidase
Real number (ℝ≥0)

Distinct751
Distinct (%)41.1%
Missing9
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean56.48695019
Minimum6.272727273
Maximum732
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:40.020633image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum6.272727273
5-th percentile12
Q122
median34.61111111
Q360
95-th percentile184
Maximum732
Range725.7272727
Interquartile range (IQR)38

Descriptive statistics

Standard deviation70.51253106
Coefficient of variation (CV)1.248297719
Kurtosis19.10596636
Mean56.48695019
Median Absolute Deviation (MAD)15.38888889
Skewness3.888392544
Sum103201.658
Variance4972.017037
MonotocityNot monotonic
2021-04-12T17:12:40.369805image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2736
 
2.0%
2132
 
1.7%
2530
 
1.6%
1830
 
1.6%
2329
 
1.6%
2229
 
1.6%
1928
 
1.5%
1228
 
1.5%
3327
 
1.5%
3726
 
1.4%
Other values (741)1532
83.4%
ValueCountFrequency (%)
6.2727272731
 
0.1%
75
0.3%
86
0.3%
8.2222222221
 
0.1%
8.91
 
0.1%
ValueCountFrequency (%)
7321
0.1%
544.18181821
0.1%
531.36363641
0.1%
5262
0.1%
518.54545451
0.1%

international_standard_ratio
Real number (ℝ≥0)

MISSING

Distinct614
Distinct (%)33.8%
Missing21
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean1.260710626
Minimum0.84
Maximum13.48
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:40.444742image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.84
5-th percentile0.96
Q11.03
median1.11
Q31.29
95-th percentile1.899363636
Maximum13.48
Range12.64
Interquartile range (IQR)0.26

Descriptive statistics

Standard deviation0.6920024933
Coefficient of variation (CV)0.5488987554
Kurtosis137.1094145
Mean1.260710626
Median Absolute Deviation (MAD)0.1081818182
Skewness10.15401453
Sum2288.189786
Variance0.4788674508
MonotocityNot monotonic
2021-04-12T17:12:40.529357image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0256
 
3.1%
1.0355
 
3.0%
1.0449
 
2.7%
0.9947
 
2.6%
1.0647
 
2.6%
1.0744
 
2.4%
1.0543
 
2.3%
1.1343
 
2.3%
0.9643
 
2.3%
0.9741
 
2.2%
Other values (604)1347
73.4%
ValueCountFrequency (%)
0.843
0.2%
0.852
0.1%
0.861
 
0.1%
0.8751
 
0.1%
0.87736842111
 
0.1%
ValueCountFrequency (%)
13.481
0.1%
11.633846151
0.1%
11.571
0.1%
9.611
0.1%
8.631
0.1%

basophil_count
Real number (ℝ≥0)

ZEROS

Distinct244
Distinct (%)13.4%
Missing9
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean0.01733352224
Minimum0
Maximum0.12
Zeros221
Zeros (%)12.0%
Memory size14.5 KiB
2021-04-12T17:12:40.609597image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.01
median0.0125
Q30.02
95-th percentile0.05
Maximum0.12
Range0.12
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.01590933282
Coefficient of variation (CV)0.9178361217
Kurtosis6.822797714
Mean0.01733352224
Median Absolute Deviation (MAD)0.0075
Skewness2.107390166
Sum31.66834513
Variance0.0002531068709
MonotocityNot monotonic
2021-04-12T17:12:40.691981image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.01445
24.2%
0.02300
16.3%
0221
 
12.0%
0.03119
 
6.5%
0.0447
 
2.6%
0.0529
 
1.6%
0.0622
 
1.2%
0.00522
 
1.2%
0.0166666666720
 
1.1%
0.01520
 
1.1%
Other values (234)582
31.7%
ValueCountFrequency (%)
0221
12.0%
0.00083333333331
 
0.1%
0.00090909090911
 
0.1%
0.0012
 
0.1%
0.0011111111114
 
0.2%
ValueCountFrequency (%)
0.122
0.1%
0.11090909091
 
0.1%
0.111
 
0.1%
0.14
0.2%
0.0981
 
0.1%

mean_corpuscular_hemoglobin
Real number (ℝ≥0)

Distinct827
Distinct (%)45.3%
Missing9
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean31.11319089
Minimum20.4
Maximum50.8
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:40.772061image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum20.4
5-th percentile27.22222222
Q129.83818182
median31
Q332.32727273
95-th percentile35.114
Maximum50.8
Range30.4
Interquartile range (IQR)2.489090909

Descriptive statistics

Standard deviation2.930771109
Coefficient of variation (CV)0.09419706002
Kurtosis9.48272382
Mean31.11319089
Median Absolute Deviation (MAD)1.223076923
Skewness1.17651155
Sum56843.79975
Variance8.589419295
MonotocityNot monotonic
2021-04-12T17:12:40.848019image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31.542
 
2.3%
30.136
 
2.0%
30.729
 
1.6%
32.628
 
1.5%
30.928
 
1.5%
3127
 
1.5%
31.725
 
1.4%
32.124
 
1.3%
30.222
 
1.2%
30.322
 
1.2%
Other values (817)1544
84.1%
ValueCountFrequency (%)
20.41
 
0.1%
20.533333331
 
0.1%
20.583333331
 
0.1%
20.71
 
0.1%
20.86
0.3%
ValueCountFrequency (%)
50.82
0.1%
49.84
0.2%
47.91
 
0.1%
47.245454551
 
0.1%
46.327272731
 
0.1%

activation_of_partial_thromboplastin_time
Real number (ℝ≥0)

MISSING

Distinct688
Distinct (%)42.3%
Missing211
Missing (%)11.5%
Infinite0
Infinite (%)0.0%
Mean40.95828552
Minimum21.8
Maximum144
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:40.925001image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum21.8
5-th percentile31.11428571
Q135.8
median39.71818182
Q344.2
95-th percentile55.48
Maximum144
Range122.2
Interquartile range (IQR)8.4

Descriptive statistics

Standard deviation9.012376307
Coefficient of variation (CV)0.2200379287
Kurtosis38.52979531
Mean40.95828552
Median Absolute Deviation (MAD)4.281818182
Skewness4.255056515
Sum66557.21397
Variance81.22292671
MonotocityNot monotonic
2021-04-12T17:12:41.002470image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.728
 
1.5%
38.924
 
1.3%
37.923
 
1.3%
40.220
 
1.1%
42.316
 
0.9%
38.316
 
0.9%
41.316
 
0.9%
4616
 
0.9%
45.716
 
0.9%
34.215
 
0.8%
Other values (678)1435
78.2%
(Missing)211
 
11.5%
ValueCountFrequency (%)
21.87
0.4%
25.61
 
0.1%
26.51
 
0.1%
26.722222221
 
0.1%
26.944444441
 
0.1%
ValueCountFrequency (%)
1441
0.1%
141.251
0.1%
137.721
0.1%
137.21
0.1%
106.41
0.1%

high_sensitivity_c_reactive_protein
Real number (ℝ≥0)

MISSING

Distinct1044
Distinct (%)57.7%
Missing28
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean75.55810191
Minimum0.1
Maximum320
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:41.078281image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.66525
Q110.01875
median53.4
Q3116.5
95-th percentile237.645
Maximum320
Range319.9
Interquartile range (IQR)106.48125

Descriptive statistics

Standard deviation76.16509073
Coefficient of variation (CV)1.008033405
Kurtosis0.5300952268
Mean75.55810191
Median Absolute Deviation (MAD)48.1
Skewness1.111755311
Sum136609.0483
Variance5801.121046
MonotocityNot monotonic
2021-04-12T17:12:41.152212image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.621
 
1.1%
0.420
 
1.1%
0.517
 
0.9%
0.214
 
0.8%
0.914
 
0.8%
2.413
 
0.7%
18.312
 
0.7%
0.812
 
0.7%
1.112
 
0.7%
2.211
 
0.6%
Other values (1034)1662
90.5%
(Missing)28
 
1.5%
ValueCountFrequency (%)
0.12
 
0.1%
0.16666666671
 
0.1%
0.214
0.8%
0.37
0.4%
0.341
 
0.1%
ValueCountFrequency (%)
3206
0.3%
313.89444441
 
0.1%
313.20833331
 
0.1%
3131
 
0.1%
312.34285711
 
0.1%

hiv_antibody_quantification
Real number (ℝ≥0)

MISSING

Distinct28
Distinct (%)1.9%
Missing361
Missing (%)19.7%
Infinite0
Infinite (%)0.0%
Mean0.09529123569
Minimum0.05
Maximum0.27
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:41.224647image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.05
5-th percentile0.06
Q10.07
median0.08
Q30.1
95-th percentile0.17
Maximum0.27
Range0.22
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation0.03583676819
Coefficient of variation (CV)0.376076225
Kurtosis4.364015242
Mean0.09529123569
Median Absolute Deviation (MAD)0.01
Skewness1.931992655
Sum140.5545726
Variance0.001284273954
MonotocityNot monotonic
2021-04-12T17:12:41.285933image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0.07307
16.7%
0.08291
15.8%
0.09223
12.1%
0.1185
10.1%
0.06108
 
5.9%
0.1167
 
3.6%
0.1347
 
2.6%
0.1443
 
2.3%
0.0532
 
1.7%
0.1529
 
1.6%
Other values (18)143
 
7.8%
(Missing)361
19.7%
ValueCountFrequency (%)
0.0532
 
1.7%
0.06108
 
5.9%
0.063846153851
 
0.1%
0.07307
16.7%
0.08291
15.8%
ValueCountFrequency (%)
0.277
 
0.4%
0.245
 
0.3%
0.227
 
0.4%
0.2119
1.0%
0.20444444441
 
0.1%

serum_sodium
Real number (ℝ≥0)

Distinct948
Distinct (%)52.0%
Missing12
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean140.9809182
Minimum115.4
Maximum179.65
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:41.354967image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum115.4
5-th percentile132.28775
Q1137.6
median140.3
Q3142.8175
95-th percentile154.3918182
Maximum179.65
Range64.25
Interquartile range (IQR)5.2175

Descriptive statistics

Standard deviation6.746241705
Coefficient of variation (CV)0.04785216176
Kurtosis5.629875336
Mean140.9809182
Median Absolute Deviation (MAD)2.6
Skewness1.36769733
Sum257149.1949
Variance45.51177714
MonotocityNot monotonic
2021-04-12T17:12:41.427159image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
141.123
 
1.3%
140.721
 
1.1%
140.320
 
1.1%
13819
 
1.0%
138.717
 
0.9%
139.716
 
0.9%
138.416
 
0.9%
142.715
 
0.8%
138.215
 
0.8%
139.815
 
0.8%
Other values (938)1647
89.7%
ValueCountFrequency (%)
115.42
0.1%
117.81
0.1%
117.86666671
0.1%
118.76666671
0.1%
118.87777781
0.1%
ValueCountFrequency (%)
179.651
0.1%
179.61
0.1%
179.551
0.1%
179.52
0.1%
172.81
0.1%

thrombocytocrit
Real number (ℝ≥0)

MISSING

Distinct611
Distinct (%)34.0%
Missing41
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean0.2053412845
Minimum0.01
Maximum0.51
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:41.502138image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile0.0576
Q10.14
median0.2
Q30.26
95-th percentile0.37
Maximum0.51
Range0.5
Interquartile range (IQR)0.12

Descriptive statistics

Standard deviation0.09337949246
Coefficient of variation (CV)0.4547526461
Kurtosis0.09863131249
Mean0.2053412845
Median Absolute Deviation (MAD)0.06
Skewness0.4347857437
Sum368.5876056
Variance0.008719729613
MonotocityNot monotonic
2021-04-12T17:12:41.580444image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1677
 
4.2%
0.1860
 
3.3%
0.1354
 
2.9%
0.246
 
2.5%
0.1445
 
2.5%
0.1942
 
2.3%
0.2441
 
2.2%
0.2539
 
2.1%
0.2138
 
2.1%
0.135
 
1.9%
Other values (601)1318
71.8%
(Missing)41
 
2.2%
ValueCountFrequency (%)
0.017
0.4%
0.024
0.2%
0.0221
 
0.1%
0.027142857141
 
0.1%
0.032857142861
 
0.1%
ValueCountFrequency (%)
0.517
0.4%
0.51
 
0.1%
0.493
0.2%
0.48666666671
 
0.1%
0.481
 
0.1%

esr
Real number (ℝ≥0)

MISSING

Distinct252
Distinct (%)16.0%
Missing261
Missing (%)14.2%
Infinite0
Infinite (%)0.0%
Mean35.82717095
Minimum1
Maximum110
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:41.657312image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.28
Q117
median31
Q348
95-th percentile87
Maximum110
Range109
Interquartile range (IQR)31

Descriptive statistics

Standard deviation24.68474052
Coefficient of variation (CV)0.6889949685
Kurtosis-0.01230335295
Mean35.82717095
Median Absolute Deviation (MAD)15.42857143
Skewness0.834212199
Sum56427.79425
Variance609.3364146
MonotocityNot monotonic
2021-04-12T17:12:41.731955image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4053
 
2.9%
2051
 
2.8%
2550
 
2.7%
849
 
2.7%
3146
 
2.5%
244
 
2.4%
2843
 
2.3%
3940
 
2.2%
1435
 
1.9%
3835
 
1.9%
Other values (242)1129
61.5%
(Missing)261
 
14.2%
ValueCountFrequency (%)
17
 
0.4%
244
2.4%
37
 
0.4%
3.6666666671
 
0.1%
3.9090909091
 
0.1%
ValueCountFrequency (%)
1101
 
0.1%
1064
0.2%
104.41
 
0.1%
1044
0.2%
1021
 
0.1%

glutamic_pyruvic_transaminase
Real number (ℝ≥0)

Distinct708
Distinct (%)38.8%
Missing9
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean38.61664174
Minimum5
Maximum1600
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:41.805952image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile8.845454545
Q116.85416667
median24.71428571
Q341
95-th percentile96.46666667
Maximum1600
Range1595
Interquartile range (IQR)24.14583333

Descriptive statistics

Standard deviation75.34600907
Coefficient of variation (CV)1.951127951
Kurtosis245.5709114
Mean38.61664174
Median Absolute Deviation (MAD)10.28571429
Skewness13.82918997
Sum70552.60446
Variance5677.021082
MonotocityNot monotonic
2021-04-12T17:12:41.880765image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2051
 
2.8%
1546
 
2.5%
1942
 
2.3%
1739
 
2.1%
1636
 
2.0%
2232
 
1.7%
2331
 
1.7%
1330
 
1.6%
2130
 
1.6%
1229
 
1.6%
Other values (698)1461
79.6%
ValueCountFrequency (%)
515
0.8%
5.1251
 
0.1%
5.1666666671
 
0.1%
5.41
 
0.1%
5.52
 
0.1%
ValueCountFrequency (%)
16001
0.1%
15541
0.1%
12951
0.1%
7442
0.1%
6661
0.1%

egfr
Real number (ℝ≥0)

Distinct1203
Distinct (%)65.8%
Missing9
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean83.41054818
Minimum2
Maximum217.16
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:41.961115image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile20.21
Q167.2
median88.5
Q3105
95-th percentile124.6
Maximum217.16
Range215.16
Interquartile range (IQR)37.8

Descriptive statistics

Standard deviation30.63729251
Coefficient of variation (CV)0.3673071713
Kurtosis0.519849614
Mean83.41054818
Median Absolute Deviation (MAD)18.5
Skewness-0.484265426
Sum152391.0715
Variance938.6436922
MonotocityNot monotonic
2021-04-12T17:12:42.034419image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.610
 
0.5%
70.310
 
0.5%
1259
 
0.5%
79.39
 
0.5%
100.48
 
0.4%
116.68
 
0.4%
47.28
 
0.4%
96.47
 
0.4%
118.57
 
0.4%
67.77
 
0.4%
Other values (1193)1744
95.0%
(Missing)9
 
0.5%
ValueCountFrequency (%)
21
 
0.1%
2.121
 
0.1%
2.32
0.1%
2.43
0.2%
2.451
 
0.1%
ValueCountFrequency (%)
217.161
0.1%
213.741
0.1%
210.321
0.1%
206.92
0.1%
140.72
0.1%

creatinine
Real number (ℝ≥0)

Distinct824
Distinct (%)45.1%
Missing9
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean102.679391
Minimum12.2
Maximum1497
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-12T17:12:42.108875image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum12.2
5-th percentile46
Q158
median76
Q396
95-th percentile262.4
Maximum1497
Range1484.8
Interquartile range (IQR)38

Descriptive statistics

Standard deviation118.7967009
Coefficient of variation (CV)1.15696733
Kurtosis58.89996906
Mean102.679391
Median Absolute Deviation (MAD)18.55555556
Skewness6.753826268
Sum187595.2474
Variance14112.65614
MonotocityNot monotonic
2021-04-12T17:12:42.182801image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6228
 
1.5%
5827
 
1.5%
7625
 
1.4%
6424
 
1.3%
6622
 
1.2%
4920
 
1.1%
5420
 
1.1%
4719
 
1.0%
6719
 
1.0%
7819
 
1.0%
Other values (814)1604
87.4%
ValueCountFrequency (%)
12.21
 
0.1%
12.81
 
0.1%
13.41
 
0.1%
142
0.1%
293
0.2%
ValueCountFrequency (%)
14971
0.1%
1443.41
0.1%
13631
0.1%
12912
0.1%
12561
0.1%